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Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. The Principal GTM Lead, Portfolio Strategy is a high-impact, senior individual contributor role bridging Business Unit (BU) Product Management, Product Marketing, Competitive Intelligence, our global technical field organization (Sales Engineers, Principal GTM Architects, and Partner Technical Leaders), and Client Executive Sales organization. Serving as the "Chief Field Advocate and GTM Strategist" within the Portfolio Strategy team, you ensure every product launch, NDA roadmap disclosure, and solution narrative is technically sound, field-ready, aggressively differentiated, and directly actionable for sellers. Leveraging deep architectural mastery of enterprise storage markets and field sales dynamics, you translate raw technical capabilities into targeted "How-to-Sell" plays—tailoring the message to expand our installed base, win net-new customer logos, and establish dominance in emerging workloads and markets. • Field Credibility: Established reputation and gravitas within senior technical sales and architect communities., • Strategic "Street Smarts": Ability to balance high-level strategic portfolio vision with the tactical realities of competitive field sales cycles., • Collaborative Review Style: High emotional intelligence, constructive review approach, and dedication to mentoring and elevating team output. "How-to-Sell" Strategy & Targeted Sales Plays • Installed-Base Modernization: Author sales plays and technical talk tracks for existing accounts. Highlight refresh justifications, next-gen upgrades, protocol expansion (block/object/unified), and consumption models (Cloud, Keystone)., • Net-New Customer Acquisition: Craft targeted displacement plays and friction-free land strategies to unseat incumbents in competitive accounts., • New Workloads & Market Expansion: Prescribe positioning for emerging domains, including Enterprise GenAI pipelines, modern virtualization, cyber vaulting, and hybrid multicloud data management., • Sales Motion Alignment: Establish qualification criteria, discovery questions, objection handling, and architectural sizing guidance to accelerate deal velocity. Competitive Differentiation & Market Positioning • Embed Competitive Edge: Systematically integrate "Why We Win" differentiation and counter-positioning into launches, roadmaps, technical FAQs, and solution decks., • Competitor Acumen: Maintain architectural expertise across primary, secondary/backup, file/object, and cloud storage rivals (e.g., Pure Storage, Dell, HPE, VAST Data, hyperscalers)., • Deconstruct Rival Claims: Partner with Competitive Intelligence to expose competitor vulnerabilities and arm technical teams with credible counter-arguments., • Win/Loss Integration: Synthesize competitive trends to refine sales plays and feed feature gap analysis back to product teams. NDA Roadmap Strategy & Global Technical Training • Lead Enablement Sessions: Partner with BU Product Managers to curate and deliver monthly NDA roadmap enablement for global SEs, GTM Architects, and key partner technical leaders., • Design Presentation Frameworks: Build standardized, high-impact roadmap templates and visual narratives for executive customer briefings and semi-annual release cycles., • Bridge Inbound & Outbound Roadmaps: Act as the technical and editorial sanity check to ensure roadmap commitments solve field friction and capitalize on market opportunities. Technical Launch Review & Quality Assurance • Commercial & Technical Tollgate: Rigorously review launch assets (whitepapers, battlecards, decks) to ensure deep technical accuracy, relevance, and role alignment., • Peer Review & Mentorship: Provide technical critique, competitive polish, and structural feedback across Portfolio Strategy deliverables prior to distribution., • Workload-to-Outcome Translation: Convert complex block, file, object, cyber resilience, and hybrid cloud architectures into clear business outcomes. Cross-Functional Influence & Field Advocacy • Stakeholder Bridge: Build trusted alignment across BU General Managers, Product Management, PMM, and Regional SE Leadership (Americas, EMEA, APAC)., • Influence Product Evolution: Channel field and customer feedback into BU development gates, RFE prioritization, and long-term portfolio direction., • Support Strategic GTM: Drive execution across key portfolio pillars: Cloud, Keystone (STaaS), Enterprise AI, Virtualization Optimization, and Sustainability., • Typically requires a minimum of 15+ years of progressive experience in senior technical go-to-market roles, such as Senior/Principal Sales Engineer, Field CTO / Principal GTM Architect, Technical Marketing Engineer (TME), or Technical Product Manager., • Proven "How-to-Sell" Playbook Development: Demonstrated track record of creating field-adopted sales plays, customer journey maps, and technical messaging for both installed-base expansion and net-new customer acquisition., • Deep Storage & Infrastructure Mastery: Hands-on architectural knowledge of enterprise storage architectures (unified file, block, object), flash storage economics, cyber-vaulting/ransomware recovery, and hybrid cloud integration. Deep familiarity with the NetApp portfolio (ONTAP, Cloud, ASA/AFF/FAS, StorageGRID, Keystone, NetApp Console) is strongly preferred., • Proven Competitive Acumen: Demonstrated mastery of the enterprise data storage competitive landscape (both traditional on-premises and hyperscaler cloud storage offerings), with a proven track record of creating battle-tested competitive collateral and sales enablement., • Audience Resonance & Storytelling: Proven ability to command the room with senior technical leaders (CTOs, Enterprise Architects) and distill complex engineering concepts into crisp, differentiated value propositions., • Presentation & Template Craftsmanship: Outstanding skill in building executive-ready, visually compelling presentations and architectural frameworks., • Cross-Functional Influence: Demonstrated ability to influence senior cross-functional leaders (VPs, GMs, Directors) without direct authority. The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Investment Forecasting Strategy & Transformation Lead Full-Time Boston, MA, Springfield, MA or New York, NY The Opportunity As an Investment FP&A Forecasting Strategy Lead, you will own how the investment forecast is produced—leading the end-to-end forecasting lifecycle across planning, production, and continuous improvement within the broader FP&A process. Investment FP&A sits at the center of the enterprise feedback loop, connecting strategy, forecast, actual performance, and management action for MassMutual’s investment portfolio. In this role, you will ensure the investment forecast is delivered in a controlled, transparent, and scalable manner—so it can be relied on as a core input to planning and decision-making for senior and executive leadership. You will operate with direct visibility to Finance and Investment Management senior leadership — partnering with the Head of Transformation, IM Operations, and Data Strategy leaders to ensure investment data governance extends all the way through to FP&A and that we are established as a key customer of enterprise data and platform investments. You will transform the forecasting operating model for Investment FP&A — designing and building workflows that are practical, clearly owned, and easy to maintain. The goal is not just process improvement; it is to build a system that is sustainable, teachable, and does not depend on any single person to run. You will lead the business side of key transformation initiatives, including the Anaplan reimplementation — defining what the team needs from the platform, shaping how workflows should work in the future state, and overseeing testing to ensure the end result is aligned with business purpose. You will work closely with the Modeling COE and enterprise partners to make sure models, data, and systems are aligned to how FP&A operates and where it is headed. In partnership with the Investment FP&A team, you will create the conditions for high-quality, decision-ready insight — and help move the function from production-heavy delivery toward a more scalable, insight-driven model. The Team You will be part of a growing Investment FP&A team focused on transforming how investment performance and strategy are understood and delivered across the enterprise. The team combines analytical insight generation with strong operational ownership of the forecasting process. The team plays a central role in the FP&A planning cycle, owning the investment forecast and serving as a key link between strategy, financial outcomes, and management actions. We work closely with Investment Management, Corporate Finance, Treasury, Actuarial, and enterprise data and systems teams. Our culture emphasizes ownership, clarity, and continuous improvement, with a shared goal of building a scalable, transparent, and reliable forecasting capability that the business can trust. The Impact • Own and evolve the investment forecasting operating model, defining how planning, production, and model governance work across the team — ensuring the model is resilient, scalable, and aligned to enterprise planning cycles, • Design workflow infrastructure that embeds quality and speed into how the team operates — establishing clear ownership, structured handoffs, and built-in transparency so the team can deliver consistently without reliance on individual expertise or manual workarounds, • Safeguard production integrity and stakeholder confidence by establishing process discipline and cross-team coordination into the operating rhythm — ensuring the team meets enterprise timelines without compromising analytical quality, • Lead the business side of Investment FP&A's system transformation, including Anaplan — translating business needs into platform requirements, shaping future-state workflows, and overseeing UAT execution to ensure the end result serves the team's analytical and reporting objectives, • Represent Investment FP&A in enterprise platform and data governance decisions — partnering with the Head of Transformation, IM Operations, and Data Strategy to ensure investment data flows are governed end-to-end and that FP&A is recognized as a key customer of enterprise data and system investments, • Build the operational foundation that enables insight and executive-ready analysis — ensuring data, models, and workflows are structured to enable decision-relevant analysis, in partnership with the Analytics Lead, • Build organizational resilience and reduce key-person risk by establishing documented, repeatable processes and developing junior talent — building a team culture of process ownership and accountability so the team can scale and sustain performance independent of any single contributor, • Drive the continuous evolution of the operating model as part of the broader Finance Transformation — identifying structural gaps, designing scalable solutions, and positioning the team to absorb new demands as the function's scope and influence grow The Minimum Qualifications • 10+ years of experience in FP&A forecasting, actuarial modeling, ALM, Cash Flow Testing (CFT / AAT), or related finance/modeling roles, • Bachelor's degree in Finance, Actuarial Science, Mathematics, Economics, or a related field, • Strong understanding of forecasting processes, planning cycles, and production environments, including interactions between models, data, and financial outputs, • Experience working with actuarial or financial models and understanding model development, testing, and governance cycles, • Demonstrated experience leading model or platform conversions, including defining business requirements, shaping future-state design, and owning the business-side decision-making through implementation. Experience as a participant or tester alone is not sufficient; this role requires someone who has owned the "what" and "why," not just the "how.", • Proven ability to understand enterprise priorities and translate them into forecasting strategy — influencing senior-level stakeholders on platform, data, and process decisions, not just executing against a strategy defined by others. This includes experience engaging with senior leadership, technology partners, and cross-functional owners as a thought partner, not solely as a workstream executor, • Track record of thought leadership in forecasting or modeling operations — including identifying structural gaps, challenging existing processes, and designing scalable solutions that change how a function operates. The expectation is to define and build the framework, not improve within one, • Proven ability to design and operate end-to-end workflows with clear ownership, effective handoffs, and embedded governance — with evidence of having built these from the ground up, not solely maintained existing processes, • Navigate and lead through organizational and system change — operating with ambiguity across evolving tools, data maturity, and competing transformation priorities. Independently assess trade-offs, define sequencing, and make judgment calls that balance enterprise timelines with business quality standards The Ideal Qualifications • Experience leading or co-leading model/platform conversions or system transformations in a business-side ownership capacity, • Familiarity with insurance investment data, modeling inputs, and linkages to STAT and GAAP reporting, • Strong systems-thinking mindset with the ability to identify structural issues and design practical, scalable solutions, • Comfort operating with ambiguity and leading through change in environments with evolving tools, data maturity, and organizational priorities What You Can Expect at MassMutual MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect: • Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes, • A collaborative environment where perspectives are welcomed, • Access to learning, development, and internal networks that support continuous growth and skill-building over time, • Employee-led communities and forums that foster connection, learning, and inclusion across the organization, • A culture grounded in integrity, responsibility, and stewardship—supported by a company with a strong legacy and a future-focused mindset #LI-LC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Candidates must be based in one of the following strategic markets: New York / Northeast: New York, New Jersey, Connecticut, Massachusetts, Pennsylvania, OR the San Francisco Bay Area / Northern California. This Partner Executive will lead and grow NetApp’s strategic national relationship with Computacenter, one of NetApp’s key strategic partners. This is a highly visible individual contributor role with end-to-end ownership of the partnership and a clear mandate to accelerate growth, expand pipeline, increase partner engagement, and create new opportunities across the business. You will operate at the intersection of NetApp and Computacenter, developing the relationships, strategy, and field-level execution required to grow the partnership. Working alongside a dedicated Partner Technical Lead (PTL)/Channel Sales Engineer, you will bring together the business, sales, and technical motions of both organizations to identify whitespace, develop opportunities, and help our teams win together. The ideal candidate brings a hunter mentality and acquisition mindset combined with the ability to build trusted relationships at every level of a strategic partner organization. This is an opportunity to take an established strategic partnership and help build its next phase of growth by expanding NetApp’s relevance, mindshare, and share of wallet across Computacenter. • Own and grow the national Computacenter partnership, including business strategy, executive alignment, performance management, and field execution., • Develop and execute joint business plans and go-to-market strategies aligned with NetApp and Computacenter growth priorities., • Drive pipeline creation, deal acceleration, account mapping, whitespace identification, and partner-led opportunities., • Create and strengthen co-sell motions between Computacenter sellers and NetApp field teams, connecting the right resources around strategic accounts and opportunities., • Build and sustain relationships with key Computacenter stakeholders across sales, leadership, and technical organizations., • Partner closely with your dedicated PTL/Channel Sales Engineer to develop a unified business and technical approach to the partnership., • Deliver sales and technical enablement programs that increase NetApp awareness, capability, and mindshare across Computacenter., • Work cross-functionally with NetApp Sales, Solutions Engineering, Marketing, Alliances, and Operations to turn strategy into execution., • Provide executive-level business updates, pipeline visibility, forecasts, performance insights, and recommendations for continued growth., • 8+ years of experience working with strategic or national partners, channel sales, alliances, or partner-led enterprise technology sales, • Direct experience working with Computacenter or a comparable national/global technology partneR, • Strong understanding of the enterprise technology ecosystem and the relationships among technology vendors, solution providers, cloud partners, and enterprise customers, • Demonstrated ability to identify whitespace and turn strategic partner relationships into new pipeline and revenue opportunities, • Proven track record of creating pipeline and delivering revenue growth through strategic partnerships, • Experience developing and executing joint business plans and go-to-market strategies, • Demonstrated experience with co-sell motions, account mapping, pipeline generation, and partner-led sales models, • Strong executive communication, presentation, and stakeholder-management skills, • Ability to build credibility and influence across sales, technical, and executive audiences, • Demonstrated forecasting rigor and pipeline-management discipline, • Strong business judgment with a high degree of accountability, ownership, and execution, • Ability to navigate complex, cross-functional organizations and mobilize teams around shared business objectives Compensation: The target salary range for this position is 223,550 - 289,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. At NetApp, we believe data is the currency of innovation. Within our Strategics Sales Organization, we partner with the world’s most influential enterprises to power how digital content is created, distributed, secured, and monetized at global scale. We are seeking a Global Client Executive (GCE) to lead one of NetApp’s most visible and demanding Media & Entertainment relationships. This role is intended for a senior sales leader who can reset trajectory, elevate executive engagement, and drive material change across a highly complex, multi‑business enterprise. This is not a maintenance role. It is a leadership assignment. If you are energized by ambiguity, accountability, and the opportunity to build momentum where it matters most, we encourage you to apply. Location: Remote (Preferred: Los Angeles, CA; New York, NY; Philadelphia, PA) Your Impact As a Global Client Executive, you will be the Account Owner for a large, globally distributed Media & Entertainment enterprise with multiple business units, buying centers, platforms, and decision-makers. You will be accountable for re‑establishing strategic relevance, sharpening NetApp’s value narrative, and executing a multi‑year growth strategy that materially expands our footprint and influence. You will be expected to assess what is working, confront what is not, and drive a step‑change in execution, engagement, and outcomes, both internally and with the customer. This role requires executive courage, operational rigor, and the ability to lead through complexity without waiting for perfect clarity. • Serve as the executive sponsor and primary point of accountability for a large, diversified Media & Entertainment enterprise., • Define and execute a clear, opinionated multi‑year account strategy that prioritizes the right businesses, workloads, and growth vectors., • Lead a cross‑functional virtual account team with high standards for execution, transparency, and follow‑through., • Elevate and expand executive‑level relationships, creating access, credibility, and trust across business, technology, and operations leadership., • Navigate fragmented buying centers and competing priorities to drive alignment and decision velocity., • Identify and convert stalled, under‑penetrated, or adjacent opportunities into material net‑new growth., • Advocate forcefully for the customer inside NetApp, influencing investment decisions, roadmap alignment, and executive engagement., • Establish a strong operating cadence focused on outcomes, value realization, and accountability., • Model NetApp’s values of ownership, growth mindset, customer centricity, belonging, and high performance—especially when pressure is highest. What We’re Looking For This role is best suited for a change‑oriented sales leader who has operated successfully in high‑stakes, high‑visibility environments. • 12 + years of proven track record leading large, complex global enterprise accounts through inflection points or transformation., • Demonstrated ability to challenge the status quo, reset expectations, and drive execution in matrixed organizations., • Strong business acumen and credibility within Media & Entertainment, including streaming, broadcast, studios, content operations, and platform ecosystems., • Executive presence with the ability to influence senior leaders through clarity, insight, and decisiveness., • Experience leading cross‑functional teams without direct authority—and holding them accountable to results., • A growth mindset paired with intellectual honesty and resilience., • Commitment to inclusive leadership, collaboration, and cultural stewardship., • Working knowledge of cloud, data infrastructure, and enterprise technology platforms. Ready to Lead: If you are motivated by accountability, energized by complexity, and ready to make a measurable impact in a globally significant Media & Entertainment environment, we invite you to apply. This role is for leaders who take ownership, move the needle, and leave things better than they found them. The target salary range for this position is 325,550 - 421,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

The Opportunity: The Due Diligence Consultant will conduct initial and ongoing due diligence analysis of investment offerings and contribute to the continued evolution of the firm’s due diligence framework. In addition to investment research and manager oversight, this individual will help identify and implement opportunities to enhance processes, reporting, technology utilization, and operational efficiency across the due diligence function. This role is well suited for an intellectually curious professional who enjoys solving complex problems, challenging existing approaches, and building scalable oversight capabilities. The position offers meaningful exposure to investment leadership, cross-functional partners, and strategic initiatives that help shape the future of the due diligence program. The Team: The Investment Oversight team is a growing organization that continues to expand its capabilities, infrastructure, and influence across the Wealth Management business. Team members bring diverse perspectives and a shared passion for investment analysis, problem solving, and continuous improvement. The team works collaboratively across Investments, Product, Operations, Compliance, Technology, and Risk Management to strengthen oversight practices and drive business outcomes. This is a unique opportunity to contribute beyond traditional responsibilities, influence the evolution of key processes, and help shape the future of the Investment Oversight function. The Impact: As a Due Diligence Consultant, you will evaluate investment managers' operational infrastructure, governance, philosophy, processes, resources, and performance to support informed investment decisions and effective risk management. You will monitor and oversee investment managers and external service providers, helping ensure ongoing alignment with business objectives and oversight standards. You will communicate due diligence findings and recommendations to senior leadership through written analyses and committee presentations, enabling sound decision-making across the organization. In partnership with stakeholders across Investments, Product, Operations, Compliance, Technology, and Risk Management, you will provide subject matter expertise on investment-related matters and help translate due diligence insights into actionable business outcomes. You will identify opportunities to enhance due diligence processes, reporting, controls, and technology solutions, leading or supporting initiatives that improve scalability, operational effectiveness, and oversight capabilities. As a change agent, you will constructively challenge existing practices, champion innovative approaches, and help establish best practices across the Investment Oversight function, driving continuous improvement and supporting the organization's evolving needs. The Minimum Qualifications: Bachelor's Degree 3+ years of experience evaluating investment products and asset classes, including mutual funds, SMAs, strategist portfolios, alternatives, variable annuities, or similar investment vehicles. 2+ years of experience presenting investment analyses, findings, and recommendations to senior leadership, committees, or other key stakeholders. 2+ years of experience leading or supporting process improvement, business transformation or operational change. 2+ years of experience using investment research tools and databases, such as Morningstar, Bloomberg, or similar platforms. 2+ years of experience using Microsoft Office applications, including Excel, PowerPoint, and Word. Due to the nature of this position, as a part of our background check process, candidates must be able to pass a non-registered fingerprint background check to qualify as a fingerprinted person under FINRA The Ideal Qualifications: CFA or currently pursuing Experience designing, documenting, implementing, or enhancing business processes, workflows, controls, or technology enabled solutions. Familiarity with data visualization, reporting automation, analytics, or other tools that improve operational effectiveness and decision making. Demonstrated ability to identify trends, inefficiencies, and opportunities for process, reporting, or technology enhancements. Experience serving as a change agent by leading through ambiguity and driving continuous improvement in a growing or evolving organization. Proven ability to influence stakeholders and drive outcomes across teams without direct authority. Experience working in a fast-paced, process-driven, or growth-oriented environment while managing multiple priorities and deadlines. Strong analytical, problem-solving, and communication skills, with the ability to effectively present complex information to a variety of audiences. Intellectual curiosity and a willingness to expand knowledge beyond established areas of expertise What You Can Expect at MassMutual : MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect: Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes A collaborative environment where perspectives are welcomed Access to learning, development, and internal networks that support continuous growth and skill-building over time Employee-led communities and forums that foster connection, learning, and inclusion across the organization A culture grounded in integrity, responsibility, and stewardship—supported by a company with a strong legacy and a future-focused mindset #LI-JLH3 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Overview: Responsible for managing, leading, coordinating, and administering the project from the conceptual stages through planning, engineering, procurement, construction, start-up, performance testing, initial operations, and prime contract close-out. Responsible for assisting Business Development in expanding current work scope, developing proposal technical and pricing strategies and preparing proposal execution strategies/plans. Also supports communications and presentations to customers. Supervises the development of budgets and schedules, manages performance, reports progress, and initiates action to assure project objectives and schedules are met and work is performed within budget and according to specifications. Resolves problems and coordinates the final turnover of the project to the customer. Provides leadership for the development and maintenance of a high-performance project team. Has overall responsibility for Project execution, ensuring that Project is delivered within contract requirements, standards of quality and safety and to Customer and Lemartec performance expectations. Location & Travel Details You’ll get the opportunity to travel across the US, helping our team build infrastructure projects. This is a traveling position, requiring travel up to 100% of the time. You may support projects located in various states throughout the US. Potential project locations may include, but are not limited to, PA, KS, NC, SC, VA, GA, TX, FL, IA, WY, and additional locations are added frequently as our organization continues to grow. COMPANY OVERVIEW: Founded in 1979, Lemartec is a national general contractor and construction management firm and is part of the General Building group within MasTec’s Clean Energy and Infrastructure segment. As MasTec’s vertical construction arm, Lemartec delivers complex projects across industrial, aviation, power, and large commercial markets. Led at the segment level by Manny García-Tuñón, the General Building Operating Group represents MasTec’s vertical construction capabilities and serves as the platform for future growth in this space. As a MasTec company, Lemartec maintains international capabilities and strategic partnerships throughout the Americas and the Caribbean, enabling the execution of some of the most complex projects in the industries we serve. Through MasTec’s network of more than 22,000 professionals and subject matter experts in Engineering, Procurement, and Construction across over 400 locations throughout North America and the Caribbean, Lemartec is uniquely positioned to serve a diversified customer base. With experience across all 16 disciplines of construction, Lemartec combines deep technical expertise with the strength, scale, and financial backing of MasTec to successfully deliver projects of any size and complexity. The General Building operating group is part of the MasTec Clean Energy & Infrastructure (CE&I) business segment. The CE&I segment generates over $4.5 billion in annual revenue, providing construction services across our renewables, industrial, infrastructure, and general building operating groups. Sustainability and safety are foundational to our culture and influence everything we do. MasTec, a minority-owned Fortune 500 company, has shaped the construction industry for more than 90 years. With over 35,000 employees and 400 offices nationwide, we provide flexibility and career growth in dynamic work environments. Join one of the largest construction firms in the country (Engineering News-Record [ENR]: #1 in Power, #17 Top 50 Domestic Heavy Contractors, #20 Transportation Contractor). Responsibilities: • Assists BD in developing win plans, preliminary project execution plans, estimating plans, proposal plans, proposals, and contract Reviews draft prime contract and proposal documents. Develops prime contract strategy and plan. Participates in prime contract negotiations including the negotiations of client/customer deliverables and the schedule for such deliverables. Ensures proper and clear Division of Responsibility (DOR) and integrated work processes., • Establishes an appropriate, integrated organizational structure, including off-project functional and specialist support. Defines and communicates roles, responsibilities and authorities to project team members and the Customer to ensure project completion in a safe manner, within budget, on schedule, and in conformance with the appropriate standards, specifications and applicable regulatory requirements. The project organizational structure should address home office support staff as appropriate., • Ensures scope, design basis and objectives are defined, best practices/lessons learned reviewed, detailed work plans, schedules, budgets and procedures are established, including: Project Execution Plan and Contract Management Plan. Obtains concurrence by the members of the project team, functional management and the Customer. Promotes the use of constructability reviews during project execution., • Monitors and controls all contractual commitments to ensure that all work is being performed in accordance with the specifications, drawings and terms of the contract, that a trend program is in place, and that change orders and claims are processed in a timely Implements and maintains a change management control system. Ensures that all Customer communications on the prime contract are documented., • Facilitates with project team the development, communication, implementation, update and continual use of the Project Execution Reviews and approves Project Control systems which measure progress / performance, provide early warning of deviations from Plan, and identify corrective actions to be taken., • Identifies quality requirements and ensures the proper processes are identified and implemented to achieve contractual quality Assesses customer perception of quality on a regular periodic basis., • Oversees the Environmental, Health & Safety program for both the office and field work environments including contractor and subcontractor Ensures design is in accordance with EH&S laws and regulations applicable to the project., • Oversees the Document Control and Records Management Coordinates the documentation and software turnover package to the client at the end of the project. Ensures that customer standards for documentation and electronic files are maintained as appropriate., • Reviews and approves bid tabulations for commitments on all major purchase orders, contracts, and sub-contracts, and approves critical changes to these documents in accordance with the delegated commitment authority., • Directs the preparation and presents the Project Status Report (PFSR) to Lemartec., • Monitors cash flow to minimize the use of Lemartec capital resources on the Informs the Customer of the current and anticipated cash requirements. Establishes and controls the budget for non-reimbursable project costs., • Assists in the training of new project managers and other project personnel in key positions through both formal training courses and on-the-job Establishes a plan to provide training opportunities for project personnel., • Promotes the management concept of Continuous Improvement (Cl) among all members of the project Leads the CI process for the Customer and Lemartec. Promotes, monitors and mentors the concept of total installed cost (TIC). Initiates, promotes and continually practices team building., • Conducts periodic project and Customer meetings consistent with the project communications plan to promote and facilitate communication, review progress/performance, discuss issues and facilitate problem Develops communication plan to ensure effective communications between the project team, the Customer and off-project operations, Functional Management and Lemartec Senior Management., • Documents all turnover activities and obtains Customer's final acceptance of the Prepares and submits the Final Project Report to Lemartec management and the Customer., • Supervision Received - Reports to the Project Director for all project related needs., • Contacts - Acts as the principal contact for the project scope of work with Customers and Lemartec management throughout the duration of the project. Maintains contact with management personnel from suppliers, subcontractors, and governmental agencies as appropriate. Qualifications: Work Experience and Education: • Bachelor’s degree in Architecture, Engineering or Construction. Additional 5 years of relevant work experience in lieu of degree., • 5 to 10 Years of experience working on Electrical scopes of work for large scale construction projects. Knowledge/Skills/Abilities: • Knowledge of Lemartec organization, policies, procedures and programs including QA/QC and Safety., • Knowledge of industry technology and EPC work processes, including knowledge of business practices of Region where project is located. Experience with lump sum, GMP and reimbursable projects., • Ability to effectively organize and staff a project team in a matrix organization., • Knowledge of front-end activities including: Best Practices/Lessons Learned, Constructability, Risk Analysis/Contingency Evaluation, and Estimate/Proposal Review Process Knowledge and understanding of Lemartec standard tools, techniques and procedures including: • Project Controls (i.e. Procore), • Financial management (i.e. PSR, Sage), • Automation, including standard office tools, • Records management, • Root Cause Analysis Knowledge and experience in baseline development and implementation including: • Scope Definition, • Roles and Responsibilities, • Estimates and resource loaded schedules, • Progress and performance curves and metrics, • Reports and action items tracking, • Business and Commercial awareness including:, • Cash flow management, • Conserving the use of Lemartec capital, • Knowledge and experience in Project Execution Plan development and implementation, • Knowledge of continuous improvement methodologies., • Knowledge and experience in prime contract and subcontracts formulation, risk analysis, negotiations, and implementation including:, • Change control and documentation management, • Cost trend program and its linkage to change control, • The hierarchy of requirements documents in case of conflict (RFP, Proposal, Contract, etc.), • Knowledge of project insurance and bonding issues/options., • Oral, written and graphic communication and presentation skills., • Ability to conduct effective meetings., • In depth knowledge of all design disciplines, specifications and drawings., • Proficiency in planning and scheduling utilizing Primavera P6 and/or Microsoft, • Advanced skills associated with Microsoft Office suite of software - Excel/Word/Outlook., • Working knowledge of standard construction accounting software – Sage., • Working knowledge of standard Project Management software – Procore., • Excellent communication, presentation and interpersonal skills., • High degree of professionalism and strong work ethic In addition to the above listed minimum requirements, candidates who poses the following skills, experience, and capabilities may receive greater consideration during the evaluation process: • Ability to travel within the U.S, • Bilingual: English/Spanish What's in it for you: Financial Wellbeing • Compensation $130k-$180k / hour, commensurate with experience, • Competitive pay with ongoing performance review and merit increase, • 401(k) with company match & Employee Stock Purchase Plan (ESPP), • Flexible spending account (Healthcare & Dependent care) Health & Wellness • Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children, • Diabetes Management, Telehealth Coverage, Prescription Drug Plan, Pet Insurance Family & Lifestyle • Paid Time Off, Paid Holidays, Bereavement Leave, • Military Leave, including Differential Pay and Benefits Continuation, • Employee Assistance Program Planning for the Unexpected • Short and long-term disability, life insurance, and accidental death & dismemberment, • Voluntary life insurance, accident, critical illness, hospital indemnity coverage, • Emergency Travel Assistance Program, • Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need accommodation as part of the employment process, contact ceicareers@mastec.com. Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at _. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. #LI-SL1 #LI-ONSITE Appcast (For Export): #appyellow

Senior Litigation Defense Attorney \n \n Location \n New York, NY \n \n Remote Work Flexibility \n Experience the freedom of working remotely for a portion of your workweek. Our infrastructure enables seamless communication, collaboration, and access to resources from anywhere. \n \n About the Company \n Manning Kass is a national civil litigation defense firm that stands out from the rest—every case and client matters. Established in 1994 with just sixteen attorneys, we have expanded over the past thirty years to more than 170 attorneys across eight offices, including major economic hubs like New York and Los Angeles. \n \n About the Role \n Manning Kass is seeking a Senior Litigation Defense Attorney to join our New York office. This position offers the opportunity to represent businesses, insurance carriers, and individuals in a broad range of defense and insurance coverage litigation matters while working alongside an accomplished team of litigators. \n \n Attorneys are involved in every stage of the litigation process—from early case assessment through trial—including developing litigation strategy, managing discovery, drafting and arguing motions, taking and defending depositions, participating in mediations and court appearances, and preparing cases for trial. This role provides meaningful responsibility, direct client interaction, and the opportunity to handle sophisticated litigation matters in a collaborative and supportive environment. \n \n The ideal candidate is a proactive, strategic litigator with strong analytical, writing, and advocacy skills who enjoys managing files independently while collaborating with colleagues to achieve exceptional client outcomes. \n \n Responsibilities \n\n • Independently manage all phases of defense from case inception through resolution, including litigation strategy, pleadings, motion practice, discovery, depositions, hearings, mediations, and trial preparation.\n, • Draft and respond to written discovery, conduct legal research, prepare pleadings, motions, and legal memoranda, and develop persuasive written and oral advocacy.\n, • Take and defend depositions, represent clients in court proceedings, and assist with all aspects of trial preparation, including motions in limine, trial briefs, jury instructions, verdict forms, and other trial-related filings.\n, • Maintain proactive communication with clients, insurance carriers, opposing counsel, experts, and the court while collaborating with attorneys and staff to deliver exceptional legal representation.\n\n \n Professional Development Opportunities \n We are committed to investing in our team's professional growth. Our distinctive "Manning Kass University" training program offers tailored education and development opportunities to help you thrive as a successful lawyer. Opportunity to mediate, arbitrate, and try cases while learning from the firm’s experienced ABOTA trial attorneys. \n \n Requirements \n\n • Juris Doctor (J.D.) degree.\n, • Active membership in good standing with the New York State Bar. Admission in New Jersey or another Tri-State jurisdiction is a plus.\n, • 5 + years of civil litigation experience\n, • Demonstrated ability to independently manage an active litigation caseload from inception through resolution effectively handling multiple files and competing deadlines.\n, • Extensive experience with case management, written discovery, motion practice, depositions, and mediations.\n, • Strong legal research, analytical, writing, negotiation, and oral advocacy skills.\n, • Excellent judgment, critical thinking, and interpersonal skills, with the ability to effectively communicate with clients, insurance carriers, opposing counsel, and the court.\n, • Trial experience is preferred but not required. Candidates should have a genuine interest in continuing to develop their trial skills.\n\n \n Company Offers \n\n • Salary starting at $140,000 - $190,000. Salary is commensurate with experience.\n, • We offer a competitive salary and an exciting bonus program to reward outstanding performance.\n, • Comprehensive benefits package, including medical, dental, vision, disability, life, flexible spending account, and 401K.\n, • Pet insurance coverage.\n, • Referral program.\n, • A company culture that fosters career growth and opportunity.\n, • All applications will be treated with the utmost confidentiality.\n

Development is our entire business.\n \n Development Site Advisors® (DSA) is hiring a Senior Director to focus exclusively on development sites, air rights, conversion and redevelopment properties, and development joint venture transactions. \n \n This is a platform built for specialists rather than generalists. Development is not one of the things we do. It is the only thing we do. \n \n At DSA, you are surrounded by architects, zoning experts, valuation professionals, capital markets professionals, owners reps, marketing, and technology, all focused on the same question: What can feasibly be built here, and what is it worth? \n \n You will have the infrastructure, data, people, and analytical resources behind you to spend your time where it matters most: sourcing opportunities, winning assignments, building relationships, structuring transactions, and closing deals. \n Why DSA\n One business, and only one. Development sites, air rights, conversion and redevelopment properties. No leasing. No investment sales across every asset class. No distractions. Every hour of knowledge in this firm is focused on NYC development. \n \n Analytical horsepower behind every pitch. Our in-house architects and zoning experts produce development analyses, zoning, massing and feasibility studies. Our proprietary Sitestimate®, Landstimate®, and Airstimate® tools, together with our Due Diligence Accelerator Package®, give our brokers and advisors the ability to walk into an owner or developer meeting with confidence. \n \n More ways to monetize a relationship. \n \n Our Debt, Equity & Structured Finance arm arranges construction, predevelopment and land, bridge, mezzanine, preferred equity, and JV equity financing. When you source a development opportunity, there may be an opportunity to participate in the financing side of that same relationship. \n \n Our Development Management Services arm also represents owners through construction, from the idea through the certificate of occupancy, creating another potential revenue opportunity from relationships you originate. \n \n A broker-friendly split. This is a 100% commission-based position. We recognize that experienced producers have earned the right to have a conversation about economics. Compensation can be structured around experience, production, and the business you bring in. We are open to discussing broker-friendly arrangements. \n \n A seat at the table. This is a Senior Director role, not simply a title. You will have direct access to firm leadership, the opportunity to help shape where DSA focuses its efforts, and the ability to develop junior brokers and analysts alongside your own production. \n \n Positioning. Our goal is to build people who are recognized internally and externally as experts in NYC development sites, air rights, conversions, redevelopment, and JV opportunities. \n What You Will Do\n\n • Source, secure, and execute transactions involving development sites, air rights, conversion and redevelopment properties, and JV equity across the five boroughs\n, • Advise owners and developers on pricing, zoning potential, feasibility, JV structuring, and marketing strategy\n, • Work with our in-house team to produce the analyses, feasibility studies, presentations, and proposals that win assignments\n, • Build and maintain relationships with property owners, developers, investors, and equity partners\n, • Identify opportunities for additional capital and development-management services within your relationships\n, • Mentor junior brokers and analysts on underwriting, pitching, negotiation, and transaction process\n, • Represent DSA at meetings, property tours, industry events, and other settings as a senior market specialist\n\n What We Are Looking For\n\n • A substantial NYC development transaction history, with a demonstrated record of closing transactions\n, • Real command of NYC zoning and the development process, including the opportunities being created by City of Yes and the city's conversion provisions\n, • Established relationships with property owners and active NYC developers\n, • The judgment and experience to run an assignment from origination through closing\n, • High-level negotiation skills and a reputation for integrity and results\n, • An active New York real estate salesperson or associate broker license\n, • A producer who wants to build a business, not simply service one\n\n To Apply\n Apply here or send a note to one of the pricnipals Rubin Isak at rubin@developmentsiteadvisors.com \n All conversations will be held in strict confidence. We understand that you are working somewhere today. \n About Development Site Advisors®\n Development Site Advisors® is New York City's only brokerage and advisory firm focused exclusively on development with a team of in-house architects and zoning experts. \n \n Founded in 2019, DSA operates through three integrated business lines. Our Brokerage practice handles the transactions of development sites, conversion properties, and air rights across all five boroughs. Our Debt, Equity & Structured Finance arm arranges capital for ground-up and conversion projects, including construction loans, predevelopment and land debt, bridge, mezzanine, preferred equity, joint venture equity, condominium inventory, and permanent takeout financing. Our Development Management Services arm represents owners through construction, from the first drawing through the certificate of occupancy. \n \n Behind the business is an integrated team of architects, zoning experts, valuation professionals, capital markets professionals, marketing, and technology, together with proprietary tools including Sitestimate®, Landstimate®, Airstimate®, and our Due Diligence Accelerator Package®. We provide property owners and developers with the information, analysis, and execution necessary to understand and unlock the full potential of any given property. \n \n We Know Zoning®. \n \n We look forward to welcoming you here.

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n What You’ll Do: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n \n The Ideal Candidate: \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n \n Basic Qualifications: \n \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

\n Your initial post of duty will be determined at the time of the final job offer and will be based on the operational needs of the U.S. Secret Service. \n Recruitment incentive up to $40,000 \n At their core, those who join the Secret Service are courageous, intelligent, strong and determined. A diverse team capable of balancing our investigative mission and fulfilling our protective legacy. Proven to be worthy of trust and confidence. \n Joining the United States Secret Service (USSS) as a Special Agent offers a unique and rewarding career dedicated to serving the nation through our dual mission of criminal investigations and protection. Special Agents play a critical role in safeguarding the financial integrity of the United States and protecting its highest leaders, including the President, Vice President, and other designated individuals. Throughout their careers, Special Agents have the opportunity to work on diverse assignments across the country and around the globe, gaining unparalleled experience in both investigative and protective operations. \n Responsibilities include: \n \n • Conducting complex criminal investigations into financial crimes, including counterfeiting, cyber fraud, and other threats to the financial infrastructure of the United States.\n, • Providing physical protection for the President, Vice President, their families, visiting foreign dignitaries, and other protectees, ensuring their safety in every environment.\n, • Designing, planning, and implementing advanced security measures for National Special Security Events (NSSEs), such as presidential inaugurations, international summits, and other high-profile events.\n \n As a Special Agent, you will be part of an elite team committed to excellence, integrity, and service, with opportunities to serve at multiple duty stations both domestically and internationally. This dynamic and impactful career challenges you to rise to your fullest potential while making a difference for the nation. Conditions of employment\n \n • U.S. citizenship is required. U.S. citizens are legally authorized to work in the United States without employer sponsorship and are entitled to all rights and protections under U.S. law.\n, • Possess a current valid driver's license. Must be REAL ID compliant.\n, • Use your official name on your application as it appears on your valid government identification (i.e., REAL ID Driver's License, State ID, Passport).\n, • Must be at least 21 years old at the time of application. Applicants may be referred up to their 40th birthday. Referral is defined as the point at which minimum qualification determinations are completed. Exceptions may apply for those with current or prior service in federal law enforcement positions covered by special retirement provisions. The Secret Service has determined that age is essential to the performance of this position.\n, • Submit to a drug test prior to your appointment and random drug testing while you occupy the position. Disclose any prior drug use, attempted use, and/or experimentation.\n, • Obtain a Top-Secret Clearance and retain it during your career.\n, • This position requires an automatic credit check after initial qualifications are met.\n, • Carry and use a firearm. Maintaining firearm proficiency is mandatory. You will be ineligible to occupy this position if at any time you have been convicted of a misdemeanor crime of domestic violence, unless you received a pardon, or your conviction was expunged or set aside.\n, • Candidates are required to complete an intensive 13-week training at the Federal Law Enforcement Training Center (FLETC) in Glynco, GA, followed by specialized 18-week training at the James J. Rowley Training Center in Laurel, MD. Failure to pass the training program may result in separation from the Secret Service.\n, • Sign a mobility agreement stating your willingness to accept assignments anywhere within the United States and overseas.\n, • Certify that you have registered with the Selective Service System or are exempt from having to do so, if you are a male applicant born after December 31, 1959.\n, • Must have uncorrected vision of at least 20/100, correctable to 20/20 in each eye. LASIK, ALK, RK, and PRK surgeries are acceptable if required post-surgery visual tests are passed: Lasik (3 months), PRK (6 months), ALK/RK (1 year) waiting periods apply.\n, • Hearing loss, as measured by an audiometer, must not exceed 25 decibels (A.S.A. or equivalent I.S.O.) in either ear in the 500,1000 and 2000Hz ranges.\n Qualifications\n As a condition of employment for accepting this position, you may be required to serve a 2-year trial period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider: \n \n • your performance and conduct;\n, • the needs and interests of the agency;\n, • whether your continued employment would advance organizational goals of the agency or the Government; and\n, • whether your continued employment would advance the efficiency of the Federal service.\n \n Upon completion of your trial period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. \n

Our client is hiring a full-stack Software Engineer to help build their investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. You'll identify problems, design solutions, and ship — often in the same week. You need to be comfortable with ambiguity, confident making judgment calls, and energized by work where there's no established playbook. \n \n RESPONSIBILITIES: \n\n • Build and own the platform — design and maintain the application infrastructure, API layer, and shared services that power the Analytics Engine end-to-end. Microsoft Azure experience is preferred.\n, • Set the technical foundation — make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right.\n, • Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable.\n, • Improve developer velocity — own the build, deploy, and testing pipeline and continuously reduce friction for the team.\n, • Integrate AI-native workflows — build tools, prompts, and evals that put real analytical leverage in the hands of investment teams.\n, • Work directly with stakeholders — engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate.\n\n \n QUALIFICATIONS: \n\n • 5+ years of full-stack development experience, including time in an early-stage or 0→1 environment (ideally fintech, etc)\n, • Proven ability to ship end-to-end independently — from scoping a problem to deploying production code — without needing a designer, PM, or architect to unblock you\n, • Experience shipping LLM-native features or applications in production\n, • Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture\n, • Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs\n, • Must have worked on a data science or predictive analytics tool/product\n\n \n PREFERRED: \n\n • Experience building ML-powered application workflows and integrating data science outputs\n, • Familiarity with MCP or production LLM integrations\n, • Background at an AI-native company or in a product-focused founding environment\n, • Experience in real estate, finance, or other data-intensive industries\n

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n What You’ll Do: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n \n The Ideal Candidate: \n \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n \n Preferred Qualifications: \n \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us: CNSO is a leading healthcare provider where excellence in patient care meets innovation in operational efficiency. Our passionate team is dedicated to transforming healthcare delivery through compassionate service and cutting-edge practices. As we continue to grow and expand our impact across communities, we're excited to welcome an experienced Physical Therapist to join our dynamic patient care team. \n At CNSO, we believe in fostering a collaborative environment where every team member plays a crucial role in our mission to deliver exceptional healthcare services. We offer opportunities for professional growth, a supportive work culture, and the satisfaction of knowing your work directly contributes to improving patient care. \n Physical Therapist Job Summary \n CNSO is seeking a Part-Time or Full-Time Doctor of Physical Therapy (DPT) to join our thriving Jersey City office. We are looking for coverage Monday - Friday, a minimum of 25 hours per week. Saturday hours are also available as an option. \n The ideal candidate will collaborate with our existing DPT team to support an established patient base in Jersey City, as well as our other locations in Wayne, Morristown, and Paramus. At CNSO, every physical therapist is backed by a strong clinical support system and infrastructure designed to promote exceptional patient care and professional success. \n Responsibilities include: \n\n • Provide physical therapy to orthopedic patients within a predominant population of spine patients with the goal of avoiding surgery or when indicated, to expedite recovery from surgery in the postoperative period.\n, • Work directly with neurosurgeons, orthopedic spine surgeons, pain management doctors, and physiatrists within the same Jersey City office.\n, • Independently evaluate patients then develop, implement, and modify the treatment plan in accordance with the patient’s needs. Communicate any concerning observations to the treating physician either in person, by phone call, or via HIPAA compliant texting service provided by CNSO.\n, • Identify the need to refer to any discipline-specific treatment services needed.\n, • Ensure the design of a functional treatment program to provide an effective return to the patient's desired lifestyle and activities\n, • Expand the physical therapy patient base and referral base.\n\n Valued Attributes: \n\n • Efficient and strong work ethic.\n, • Maximizes patient scheduling without reducing patient care.\n, • Maintains clean and orderly gym floor\n, • Provides a professional atmosphere in the gym which is greatly appreciated by patients.\n, • Knowledge of eClinicalWorks is a plus\n\n Education & Experience (Including Licenses) \n\n • Current state licensure as a Physical Therapist required.\n, • Certified BLS required.\n\n Gym hours are Monday – Friday, typically 8am – 5pm or 9 am to 6 pm but open to scheduling patients before and after normal business hours in order to maximize patient volume. \n Salary commensurate with experience.

SOMOS Medical PC is a mission-driven network of community-based healthcare practices dedicated to providing compassionate, high-quality care to underserved populations throughout New York City. We are currently seeking Board-Certified or Board-Eligible Internal Medicine Physicians to join our growing team in Upper Manhattan, Bronx, and Queens. \n \n Visa Sponsorship: \n We proudly support both J1 waiver and H1B visa candidates. Our experienced team will guide you through the sponsorship process to ensure a smooth transition into practice. \n \n Position Highlights: \n\n • Full-time outpatient primary care setting\n, • Collaborative, patient-centered medical home model\n, • Multicultural and multilingual patient population\n, • Competitive salary and benefits package\n, • Supportive administrative and clinical team\n, • EMR training and integration support\n, • Opportunities for professional growth and leadership\n\n \n Requirements: \n\n • MD or DO degree\n, • Board Certified or Board Eligible in Internal Medicine\n, • Eligible for New York State Medical License\n, • Strong commitment to community health and serving underserved populations\n, • Bilingual Spanish/English a plus\n\n \n Why Join SOMOS Medical PC? \n SOMOS is more than a healthcare organization — we are a community of clinicians, advocates, and professionals working to close healthcare gaps and promote equity in care. With a strong network and infrastructure, we ensure that our providers feel supported while delivering exceptional care. \n

Strength Through Diversity \n Ground breaking science. Advancing medicine. Healing made personal. \n \n Roles & Responsibilities: \n The Assistant Nurse Manager is a Registered Professional Nurse with broad knowledge and skills who acts as clinical leader in the daily functioning of the unit and oversight of quality patient care delivery, in conjunction with, or in the absence of, the Clinical Nurse Manager. \n \n Roles & Responsibilities: \n Assistant Nurse Manager (RN) \n Medical / Surgical \n The Assistant Nurse Manager is a Registered Professional Nurse with broad knowledge and skills who acts as clinical leader in the daily functioning of the unit and oversight of quality, patient care delivery, in conjunction with, or in the absence of, the Nurse Manager. \n\n • Roles and responsibilities in the areas of – Patient Care, Patient Experience, Quality and Safety, Operations and Administration, Professional Development\n, • Utilizes an inter-disciplinary approach to coach and develop practice-based staff to ensure the delivery of high quality patient care in a safe environment\n, • Assists in developing clinical staff\n\n Patient Care \n 1. Leads nursing practice using the tenets of the Professional Practice Model of Relationship Centered Care and the Care Delivery Model of Modified Primary Nursing for the promotion of the patient experience. \n 1. Demonstrates proficiency in all aspects of Purposeful Hourly Rounding (PHR) and role models expected behaviors. \n 1. Ensures the integration of PHR into clinical activities to enhance Relationship Centered Care. \n 1. Validates staff members round hourly on all patients by direct observation and patient feedback. \n 1. Assesses staff competency in PHR and provides consistent meaningful feedback with more focused feedback as needed. \n 1. Conducts rounding of all patients on a daily basis (Monday-Friday.) \n 1. Communicates quantitative and qualitative information regarding the patient experience and staff engagement to the staff and the Interdisciplinary Patient Care Team that leads to the development and implementation of an action plan. \n 1. Collaborates with the physician dyad and escalates concerns as appropriate. \n 1. Follows up on all patient concerns in a timely manner and provides service recovery as needed. \n 1. Demonstrates caring, respect, compassion, empathy and active listening through dialogue, body language and actions. \n Patient Experience \n 1. Role models the tenets of Mount Sinai Relationship Centered Care (MSHRCC) through facilitation of the following actions but not limited to: Admission Welcome, Bedside Shift Report, HELP, AM/PM Care, 5 Minute Sit Down, Purposeful Hourly Rounding (PHR), Medication Review, Discharge Wrap Up, and MD/RN Unit Collaboration. \n 1. Huddles with staff at the start of each shift, identifying high-risk patients who require special attention. \n 1. Communicates to nursing leadership concerns or issues identified during huddle and throughout shift. \n 1. Initiates service recovery for patients and family members who have concerns and escalates to Clinical Nurse Manager/Associate Director of Nursing/designee or Patient Relations as needed. \n 1. Interprets and communicates patient experience scores and benchmarks and keeps staff informed of progress and areas of opportunity. \n 1. Considers the patients values, preferences, expressed needs and knowledge in all aspects of care. \n 1. Empowers staff to use evidence-based practices to increase understanding of patient's perceptions of care. \n 1. Demonstrates caring, respect, compassion, empathy and active listening through dialogue, body language and actions. \n Quality and Safety \n 1. Designs, supports and leads a safe, therapeutic and efficient patient-centered care environment for professional practice. \n 1. Identifies and investigates issues or variances in practice/operations by participating in the RCA process and implements corrective action plans. \n 1. Fosters a fair and open culture that encourages error and near-miss occurrence reporting. \n 1. Leads interdisciplinary quality improvement teams using the principles of high reliability. \n 1. Reviews unit progress, changes and compliance with quality and safety metrics with clinical nurses and other members of the healthcare team. \n 1. Responds to escalations of potential safety hazards or gaps from best practice by correcting concerns following institutional chain of command protocol. \n 1. Monitors institutional information technology infrastructure and corrects gaps in clinical nurse documentation. \n 1. Leads staff participation in quality and safety initiatives and mandated compliance measures. \n 1. Demonstrates accountability for all unit quality and safety practices and compliance and ensures required evaluation of staff competencies is maintained. \n Operations and Administration \n 1. Supports implementation of the mission, vision, goals and objectives of the department, throughout the clinical service and individual patient care units. \n 1. Provides administrative and clinical oversight to ensure that all activity (staffing, support services, inter disciplinary collaboration, resources and financial viability) supports the goals of the organization. \n 1. Works collaboratively with physician dyads and the healthcare team to promote patient care and regulatory standards. \n 1. Maintains a nursing unit in compliance with all regulatory agency mandates, including the regulations of NYS DOH and The Joint Commission. \n 1. Oversees 24-hour patient care delivery, throughput, staffing and processes to ensure efficient and effective operations. \n 1. Prepares, implements and monitors unit budgets, including capital equipment allocation, budget variances, management of OT and vacancies according to MSHS financial goals. \n 1. Maintains control of established positions and manages the recruitment and retention of qualified staff. \n 1. Maintains patient/employee confidentiality in the management of information. \n 1. Evaluates nursing staff performance and mentors, coaches, counsels and disciplines staff as needed. \n 1. Monitors availability and maintenance of nursing equipment and supplies. \n 1. Conducts regular staff meetings to ensure communication with staff about progress, changes and compliance with all hospital policies and procedures. \n 1. Encourages, recognizes and rewards staff participation in quality and safety initiatives, compliance and successes. \n 1. Facilitates organizational change initiatives by using effective strategies. \n 1. Leads a shared decision-making model by establishing a structure of shared governance, just culture and staff engagement in practice councils, departmental meetings and initiatives. \n 1. Interprets and implements collective bargaining agreements affecting staff. \n 1. Responds to protest of assignment in a timely manner as detailed in the collective bargaining agreement and discusses the resolution in unit staff meetings. \n Professional Development \n 1. Performs as a clinical leader who actively creates and supports nursing practice and an environment of care that reflects clinical excellence. \n 1. Organizes the environment of care to support clinical colleagues, patients and their families and members of the healthcare team. \n 1. Projects and cultivates a professional image to colleagues by communicating caring, respect, compassion, empathy and trust. \n 1. Incorporates ethical principles into decision making for patient and family in collaboration with the clinical nursing staff and the healthcare team. \n 1. Fosters a spirit of scholarship, inquiry, life-long learning and innovation for self and others. \n 1. Acquires and disseminates knowledge and skills relative to the role, patient population, clinical specialty and global or local health community needs. \n 1. Leads shared decision making through unit/service practice councils, nursing department and hospital committees, and clinical service/unit initiatives. \n 1. Serves as a professional role model and preceptor for new leadership staff and students. \n 1. Integrates the values of research and evidence-based practice and its application to nursing practice and the environment of care. \n 1. Contributes to the profession of nursing through leadership and participation in professional organizations. \n \n Requirements: \n\n • BSN, required, Masters in Health related field preferred\n, • 3 years minimum clinical nursing experience with some Charge Nurse/supervisory experience preferred. Must have relevant clinical competence in area of nursing practice assigned\n, • Experience/success in a unionized environment preferred\n, • EPIC, Microsoft Excel, Windows & Outlook experience strongly preferred\n, • NYS RN License\n, • Strong leadership skills; Effective communicator\n, • Demonstrated leadership ability, effective organizational skills, Effective interpersonal skills, Ability to problem solve using critical thinking.\n, • Demonstrates caring, respect, compassion, empathy and active listening through verbal and body language and actions.\n\n \n Compensation Statement \n \n The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $95,450.00 - $143,175.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. \n Non-Bargaining Unit, ACO - Nursing 1 North M-S - BKL, Mount Sinai Brooklyn

AI Engineer 4 (Vision model (VLM) customization experience)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

WELLTOWER – REIMAGINE REAL ESTATE WITH US \n Welltower, now the world’s largest real estate company by market capitalization, is continuing to grow at an exciting pace! \n \n At Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday. \n \n We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team. \n \n SUMMARY \n The Corporate Paralegal supports the Legal Department, focusing on fund compliance for the Company’s registered investment advisor (“RIA”), holistic fund platform support, corporate governance matters, and legal operations. This role will provide support through administration of compliance processes, governance support, document management, and special projects. \n \n KEY RESPONSIBILITIES \n\n • Assist with administration of the Company's RIA’s fund compliance platform, including quarterly and annual reporting processes (with respect to both the RIA’s internal compliance procedures and any required SEC filings)\n, • Coordinate quarterly valuation and expense allocation meetings, including scheduling, preparation of materials, and meeting minutes\n, • Assist with the monitoring of investment guidelines and restrictions, LP side letter reporting requirements, and other contractual reporting obligations\n, • Maintain compliance records and document repositories\n, • Prepare organizational documents, resolutions, consents, and other governance materials\n, • Coordinate lender, vendor, investor, and financial institution Know Your Customer (KYC) requests and due diligence matters\n, • Support attorneys with special projects and compliance initiatives related to the fund platform\n, • Support the Corporate Secretary function through maintenance of governance records, minute books, and corporate documentation\n, • Coordinate and fulfill Corporate Secretary certificate requests, quarterly legal due diligence inquiries, good standing certificate requests, and officer and director information requests\n, • Assist with organization of Board and Committee materials, minutes, calendars, and related records\n, • Coordinate execution of documents, signature collection, and corporate filings\n, • Maintain legal department files and records, including Corporate Secretary documentation\n, • Assist with processing wire transfer documentation, forms, and other legal administrative matters\n, • Work with other members of the Legal Department on special projects and initiatives\n\n \n OTHER DUTIES \n Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. \n \n TRAVEL \n No travel is expected for this position. \n \n MINIMUM REQUIREMENTS \n Experience: 3-5 years of experience as a paralegal, legal assistant, compliance professional, or related legal operations role. Experience with corporate governance, entity management, private funds (including SEC rules and regulations applicable to RIAs), financial services, or compliance matters preferred. \n \n Education: Associate’s or Bachelor’s degree in Legal Studies, Business, or related field; Paralegal Certification preferred. \n \n Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. \n \n COMPENSATION \n Salaries may vary by location. The range for this role in New York is $82,000 - $104,000 plus bonus. Final compensation determinations are made based on a variety of factors, including, but not limited to, the candidate’s individual experience, education, and skill level; business strategic priorities; primary office location; scope and anticipated strategic impact of the role. \n \n WHAT WE OFFER \n\n • Competitive Base Salary + Annual Bonus\n, • Generous Paid Time Off and Holidays\n, • Employee Stock Purchase Program – purchase shares at a 15% discount\n, • Employer-matching 401(k) Program + Profit Sharing Program\n, • Student Debt Program – we’ll contribute up to $10,000 towards your student loans!\n, • Tuition Assistance Program\n, • Comprehensive and progressive Medical/Dental/Vision options\n, • Professional Growth\n, • And much more! https://welltower.com/newsroom/careers/\n\n \n ABOUT WELLTOWER \n Welltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. \n \n Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. \n Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – our North Star. \n \n Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Title: Tax Manager \n Location: Brooklyn, NY \n Salary: $130,000 - $160,000 + equity, relocation assistance available \n Skills: Tax Manager, Indirect Tax, Multi-State Compliance, Sales and Use Tax, Tax Infrastructure Build, Individual Contributor \n \n About the Opportunity: \n My client, one of the fastest-growing multi-location consumer retail companies in the country, is looking to hire a Tax Manager focused on indirect tax. This is a hands-on, individual contributor seat, not a management role, for someone who wants to own outcomes directly rather than inherit someone else's process. \n \n This position centers on indirect tax, with real weight on hands-on compliance work, analytical rigor, and staying ahead of risk as the business scales. You'll step into a newly created seat that doesn't come with an established playbook yet. \n \n If ownership over process, not people, is what you're after, this is worth a conversation. \n \n Responsibilities: \n\n • Build a multi-state indirect tax calendar from scratch, covering every filing deadline and remittance across the footprint\n, • Take new states through the full path from initial research to a live, filed process\n, • Serve as the internal point of contact for indirect tax questions from other departments\n, • Review and manage the output of the outside firm handling actual filings\n, • Spot exposure across jurisdictions early and bring solutions, not just problems\n, • Work independently as an individual contributor, owning outcomes directly with no direct reports\n\n \n Must-Have Skills: \n\n • Experience as an Indirect Tax Manager or equivalent, owning indirect tax end to end\n, • A combination of public and private tax experience\n, • 5+ years of hands-on, operational tax experience\n, • A track record leading and managing rollout or expansion projects\n, • Deep multi-state indirect tax expertise\n\n \n Nice-to-Have Skills: \n\n • Background in inventory-based industries such as manufacturing, distribution, or retail operations\n, • Familiarity with integrating tax logic into transaction or revenue systems\n, • CPA, EA, or equivalent certification\n\n

Marketing Statement \n Lincoln Medical and Mental Health Center is one of New York City’s premier acute care hospitals. Located in Downtown Bronx, Lincoln is a teaching hospital renowned for its Centers of Excellence, and a recognized industry leader in the implementation of state-of-the art medical technology and best practices. Our team of highly trained and caring medical professionals is dedicated to providing the highest quality health care that is safe, compassionate, culturally competent and patient-centered. Comprehensive services are offered in three major primary care areas: Medicine, Pediatrics, and Women’s Health in addition to more than eighty (80) specialty services. At Lincoln, the safety and comfort of our patients is our number one priority. \n At NYC Health + Hospitals, our mission is to deliver high quality care health services, without exception. Every employee takes a person-centered approach that exemplifies the ICARE values (Integrity, Compassion, Accountability, Respect, and Excellence) through empathic communication and partnerships between all persons. \n \n Work Shift \n 8:00 A.M – 4:00 P.M; Rotating Weekends & Holidays. *[35 Hours per Week.] \n \n Duties & Responsibilities \n Essential Duties and Responsibilities: \n \n 1. Oversees daily nursing clinical operations and patient care delivery for one unit/department. Ensures structured safety huddles and appropriate patient assignments. \n 1. Assists in developing policies, objectives and standards of nursing service. Assists in reviewing and recommending revisions, as needed, to unit-specific policies and procedures and interprets policies and objectives of nursing service to staff and other disciplines. \n 1. Participates in planning, organizing, and evaluating of nursing service and/or health programs. Monitors delegation, care coordination, and escalation pathways. \n 1. Assists in implementing organizational plans for nursing service that delineate nursing functions, define relationships with other departments/disciplines and ensure maintenance of competent nursing staff. \n 1. Oversees daily staffing, scheduling, and equipment coverage. Makes staffing adjustments and manages overtime to achieve departmental goals and objectives, as necessary. Ensures effective use of resources within budgetary guidelines. 6. In collaboration with nursing leadership, develops strategies to identify nursing candidates, retain and engage staff to ensure quality care while maintaining staff and patient satisfaction. Ensures staff are properly oriented. 7. Assists in the development of administrative procedures and programs of patient care. Identifies and investigates issues or variances in practice and/or operations by participating in the Root Cause Analysis process and implements corrective action plans, as necessary. 8. Directs, supervises, and evaluates activities of Supervisor of Nurses and other nursing personnel. Conducts staff performance reviews to ensure that standards of quality care are met and monitors unit-level quality indicators and patient outcomes. Supports performance management and competency validation and promotes evidence-based practice and professional development. \n 1. Prepares and makes periodic and daily reports on administrative matters relating to staff and patient management. \n 1. Monitors information technology infrastructure and corrects gaps in clinical nurse documentation. Reinforces policy adherence and documentation standards. \n 1. Maintains readiness for regulatory surveys and audits. 12. Participates in the direction and implementation of a quality assurance program for nursing. Leads staff participation in quality and safety initiatives and required compliance measures. \n 1. Assesses nursing services through rounds, chart reviews and observation/evaluation of patient care. \n 1. Participates in departmental and other relevant activities, meetings, and health care events, as required. \n 1. Ensures adherence to established protocols during emergencies and declared disasters, while maintaining staff preparedness through clear communication of roles, responsibilities, and required training. \n 1. Effectively applies ICARE values: Integrity, Compassion, Accountability, Respect, and Excellence. \n 1. May have responsibility for planning, organizing, directing, coordinating and evaluating the nursing service in a health care setting participating in selection, placement and follow-up of patients transferred to homes. \n 1. May assume responsibility for planning, directing, coordinating and evaluating nursing service on the weekend/evening and/or night tours. Provides guidance to nursing administrators to ensure continuity of patient care on off tours. \n \n Qualification Requirements: \n \n 1. Valid New York State license and current registration to practice as a Registered Professional Nurse in New York State; and \n 1. Master’s Degree from an accredited college or university in Nursing Administration or a related nursing discipline; and three (3) years of satisfactory nursing experience, one (1) year of which must have been in an administrative or supervisory capacity, which may include managing a specific department or nursing unit within a hospital or health care setting, overseeing patient care, staff management and the day-to-day operations of the department, as well as demonstrating clinical competency in relevant clinical area; or \n 1. Bachelor’s Degree from an accredited college or university in Nursing; and four (4) years of satisfactory nursing experience (i.e., clinical care), two (2) years of which must have been in a clinical supervisory capacity (i.e., Head Nurse, Supervisor experience), as well as demonstrating clinical competency in relevant clinical area. \n 1. May require Basic Life Support (BLS) through the American Heart Association (AHA) depending on assignment/health care setting. If required, BLS must be obtained within sixty (60) calendar days of appointment to the title and maintained for the duration of the assignment. \n \n Department Preferences: \n \n · Quality Assurance and Performance Improvement (QAPI) projects experience preferred. \n · Experience with Running regular audits on nursing documentation, medical records, and infection control protocols preferred \n · Experience with Updating and implementing evidence-based nursing procedures, manuals, and safety policies preferred \n · Supervisory experience with clinical operations, mentor charge nurses, and investigate safety incidents preferred. \n

Summary \n The Vice President, Enterprise Emergency Management & System Resilience is the executive leader responsible for the strategic direction, integration, and operational oversight of Mount Sinai Health System's comprehensive all-hazards Emergency Management, Clinical Preparedness, Business Continuity, Crisis Management, and Enterprise Resilience programs. \n \n Executive Leadership & Enterprise Strategy: \n\n • Develop and execute the Health System's enterprise Emergency Management, Clinical Preparedness, Business Continuity, and System Resilience strategy;\n, • Establish long-range strategic priorities that align emergency preparedness with the Health System's mission, growth strategy, and operational objectives;\n, • Serve as the executive advisor to senior leadership on enterprise operational risk, organizational resilience, and emergency preparedness;\n, • Lead enterprise governance for emergency management, business continuity, crisis management, and organizational readiness;\n, • Establish performance metrics, executive dashboards, and system-wide preparedness indicators.\n\n Enterprise Emergency Management: \n\n • Direct the Health System's comprehensive all-hazards Emergency Management Program across all hospitals, ambulatory practices, physician offices, research facilities, administrative locations, and affiliated sites;\n, • Maintain and continuously improve the Enterprise Emergency Operations Plan, Hazard Vulnerability Assessment (HVA), Continuity of Operations Plans (COOP), and recovery strategies;\n, • Lead activation and management of the Enterprise Emergency Operations Center (EOC) and Hospital Incident Command System (HICS);\n, • Coordinate enterprise incident response for natural disasters, infectious disease outbreaks, cyber events, infrastructure failures, utility disruptions, workplace violence, mass casualty incidents, hazardous materials events, and other operational emergencies;\n, • Lead enterprise after-action reviews and oversee implementation of corrective action plans.\n\n Clinical Preparedness: \n\n • Serve as the executive clinical leader responsible for Health System-wide disaster preparedness and clinical readiness;\n, • Partner with Nursing, Medical Staff, Emergency Medicine, EMS, Critical Care, Trauma, Pharmacy, Laboratory, Infection Prevention, Quality, Patient Safety, and the Clinical Command Center to develop standardized clinical response plans;\n, • Lead enterprise planning for medical surge, infectious disease response, crisis standards of care, patient evacuation, medical transportation, healthcare resource allocation, and continuity of clinical services;\n, • Ensure emergency preparedness is integrated into clinical quality, patient safety, and operational excellence initiatives.\n\n Enterprise Readiness & Business Continuity: \n\n • Lead the Health System's Enterprise Readiness and Business Continuity Programs;\n, • Ensure critical business and clinical functions maintain comprehensive continuity and recovery plans;\n, • Develop enterprise continuity strategies addressing cybersecurity incidents, IT downtime, workforce shortages, supply chain disruptions, utility failures, pandemic response, clinical surge events, and infrastructure failures;\n, • Lead operational recovery efforts following significant enterprise disruptions;\n, • Establish organizational readiness assessments for new facilities, major initiatives, and strategic operational changes.\n\n Essential Support Function (ESF) Coordination: \n\n • Coordinate preparedness, planning, response, and recovery activities across all Health System Essential Support Functions.\n\n Clinical Command Center Integration: \n\n • Integrate Emergency Management into the Clinical Command Center operating model;\n, • Develop and maintain a real-time enterprise common operating picture;\n, • Utilize predictive analytics, artificial intelligence, and digital command technologies to improve situational awareness and executive decision-making;\n, • Coordinate enterprise response through centralized operational command and system-wide resource management.\n\n Government & External Affairs: \n\n • Represent Mount Sinai Health System with NYC Emergency Management, FDNY, NYPD, NYC Department of Health & Mental Hygiene, New York State Department of Health, FEMA, HHS ASPR, Department of Homeland Security, Greater New York Hospital Association, Regional Healthcare Coalitions, and federal, state, regional, and municipal emergency management agencies;\n, • Develop strategic partnerships that strengthen coordinated regional preparedness and healthcare resilience.\n\n National Healthcare Preparedness Leadership: \n\n • Represent Mount Sinai in regional, state, and national emergency preparedness initiatives;\n, • Participate in healthcare coalitions, preparedness committees, and industry workgroups;\n, • Build collaborative relationships with federal agencies supporting healthcare preparedness and critical infrastructure protection;\n, • Advance Mount Sinai's national leadership in healthcare emergency management and resilience.\n\n Technology & Innovation: \n\n • Lead implementation of innovative emergency management technologies including crisis management platforms, mass notification systems, resource tracking systems, GIS mapping, predictive analytics, AI-enabled decision support, and digital command center technologies;\n, • Evaluate emerging technologies that improve organizational resilience and operational readiness.\n\n Regulatory Compliance: \n\n • Ensure enterprise compliance with Joint Commission Emergency Management Standards, CMS Emergency Preparedness Rule, New York State Department of Health, FEMA, OSHA, National Incident Management System (NIMS), and Hospital Incident Command System (HICS).\n\n Education, Training & Exercises: \n\n • Develop and oversee a multi-year enterprise exercise program;\n, • Conduct tabletop, functional, and full-scale disaster exercises;\n, • Maintain executive preparedness through leadership education and incident command training;\n, • Ensure workforce competency in emergency preparedness across all Health System entities.\n\n Financial & Administrative Leadership: \n\n • Develop and manage departmental operating and capital budgets;\n, • Pursue federal and state grant funding opportunities;\n, • Manage preparedness investments and emergency management technologies;\n, • Ensure efficient stewardship of organizational resources.\n\n Research & Innovation: \n\n • Advance evidence-based emergency management practices;\n, • Lead organizational research, innovation, and program development;\n, • Present nationally and publish on healthcare preparedness and resilience;\n, • Foster partnerships with academic, governmental, and industry organizations.\n\n Other Duties: \n\n • Perform additional responsibilities as needed to support the operational and strategic objectives of the Clinical Command Center and Mount Sinai Health System.\n\n \n Requirements: \n Education: \n\n • Master's degree in Nursing, Healthcare Administration, Public Health, Emergency Management, Business Administration, or a related healthcare field required.\n, • Current licensure as a Registered Nurse (RN), Physician (MD/DO), or other licensed clinical healthcare professional with eligibility for New York State licensure required.\n, • Progressive executive leadership experience as a clinical operator, with responsibility for health system operations, emergency preparedness, incident command, and multidisciplinary clinical teams, required.\n, • Doctoral or terminal clinical/professional degree (DNP, MD, DO, DHA, DrPH, PhD, or equivalent) preferred.\n\n Experience: \n\n • Minimum of ten (10) years of progressive executive leadership experience in clinical operations, including at least 5 years at the executive level overseeing enterprise emergency management, healthcare and disaster preparedness, resilience and incident command within a large, complex health system;\n, • Demonstrated leadership during large-scale emergencies, infectious disease outbreaks, cyber incidents, mass casualty events, and prolonged operational disruptions;\n, • Experience leading enterprise Emergency Operations Center activations and Hospital Incident Command System operations;\n, • Experience integrating emergency preparedness with clinical operations, patient safety, quality, business continuity, enterprise risk management, and executive decision-making;\n, • Demonstrated ability to build trusted relationships with executive leadership, physicians, nursing, government agencies, and external healthcare partners.\n\n Preferred: \n\n • Experience serving in regional, state, or national healthcare preparedness leadership organizations;\n, • Experience collaborating with HHS ASPR, FEMA, DHS, CDC, CMS, NDMS, and state emergency management agencies;\n, • Experience in EMS, air medical transport, disaster medicine, military medicine, homeland security, or public safety leadership;\n, • Experience implementing digital operating platforms, predictive analytics, and AI-enabled operational technologies;\n, • Experience leading healthcare coalition initiatives and multi-agency disaster exercises;\n, • Successfully obtaining and managing federal preparedness grants;\n, • National reputation through publications, speaking engagements, research, or participation in professional organizations.\n\n Technical Skills: \n\n • Executive Leadership\n, • Clinical Operations\n, • Enterprise Emergency Management\n, • Organizational Resilience\n, • Crisis Leadership\n, • Incident Command\n, • Business Continuity\n, • Strategic Planning\n, • Enterprise Risk Management\n, • Healthcare Operations\n, • Government Relations\n, • Executive Communication\n, • Operational Excellence\n, • Digital Command Centers\n, • Artificial Intelligence & Predictive Analytics\n, • Change Management\n, • Financial Stewardship\n, • Research & Innovation\n, • Cross-functional Collaboration\n, • Executive Decision Support\n\n Certifications (Preferred/Required): \n\n • Certified Emergency Manager (CEM) Required\n, • Certified Business Continuity Professional (CBCP) Required\n, • Certified Healthcare Emergency Professional (CHEP) FEMA Master Exercise Practitioner (MEP) Preferred\n, • Hospital Incident Command System (HICS) NIMS ICS 100, 200, 300, 400, 700, and 800 (required)\n, • Professional certification in emergency medical transport, disaster medicine, homeland security, or healthcare preparedness.\n

Job Description ACO, Inc., Area Sales Manager - Surface Stormwater Position Description Location: Greater NY Area- Newark, NJ 07102 Surrounding Area AREA SALES MANAGER – SURFACE STORMWATER SUMMARY: Responsible for managing all sales activities associated with ACO Drain, ACO Sport, ACO Infrastructure, ACO Stormbrixx, ACO Oil Water Separators, Aquaduct, Building Drainage & Market product lines within a specific region. Create and execute an approved business plan for assigned territory. AREA SALES MANAGER - SURFACE STORMWATER ESSENTIAL DUTIES AND RESPONSBILITIES: • Monitor and direct territory sales performance, • Exceed monthly and yearly sales budgets, • Monitor ACO Distributor’s performance to ensure they are meeting the terms of the Distributor Agreements, • Lead weekly review session with ISR & CSR. The ASM is the Captain of the Sales Team, • Identify, track, manage and close major projects within region, utilizing Microsoft Dynamics, • Search for new opportunities using available tools (Google, CMD, LinkedIn, etc.), • Prepare and send submittal package to ACO Distributor or Direct Buy customer after a Purchase Order has been received, • Establish specifications for ACO Products through Architects/Engineers, Design/Build Firms etc., • Analyze and communicate customer/client requirements to the ACO CS, BD or Tech Service Depts. as appropriate, • Provide the Marketing Department with photos & project worksheets for promotional purposes, • Assist with customer problem resolution, • Participating in budget planning for region, • Attend and set-up trade shows, • Average 60% travel expected per month. If more office time is needed, supervisor approval is required, • Comply with Company policies and procedures AREA SALES MANAGER - SURFACE STORMWATER COMPETENCIES: Collaboration Organizational & Time Management Communication Proficiency Technical Capacity Initiative Influence AREA SALES MANAGER - SURFACE STORMWATER POSITION TYPE/EXPECTED HOURS OF WORK: This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5 p.m. (may vary depending on region/territory and business demand). AREA SALES MANAGER - SURFACE STORMWATER EDUCATION AND EXPERIENCE: Bachelor's degree from a four-year college or university; or one to two years related experience and/or training; or equivalent combination of education and experience. AREA SALES MANAGER - SURFACE STORMWATER ADDITIONAL ELIGIBILITY QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. • Ability to read, analyze, and interpret general business periodicals, professional journals, or technical procedures. Ability to write reports and business correspondence, • Ability to read and interpret blueprints, • Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the public, • Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume, • Ability to solve practical problems and deal with a variety of concrete variables in situations where limited standardization exists, • Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form, • Ability to use MS Office software programs, • Be able to manage data files efficiently, • Be able to take photographs of products, product installations etc. AREA SALES MANAGER - SURFACE STORMWATER PHYSICAL AND WORK ENVIRONMENT: • Ability to travel daily and spend most of the day in a vehicle, • Ability to sit, stand, walk, and bend daily., • Valid driver’s license and no major driving violations, • Ability to operate a computer for 1-2 hours per day., • Ability to lift product up to 50 lbs. on an occasional basis. Benefits • Medical & Dental, • Company paid - Vision, Life Insurance, Short-Term, & Long-Term Disability, • 401(k) Match, • HSA & FSA AREA SALES MANAGER - SURFACE STORMWATER OTHER DUTIES: The above job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities, and activities may change at any time with or without notice. Compensation details: 110000-120000 Yearly Salary PI55d2f8737245-25405-41241907

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Salary: $180,000 - $225,000 per year A bit about us: A growing technology-driven organization is looking for a Director of Infrastructure to lead the strategy, architecture, and execution of its global infrastructure environment.

Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 fo

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • 4+ years of on-the-job experience with an industry recognized ML framework such as Dask or XGboost.\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Title: Travel Electrician (Low Voltage and Medium Voltage Construction) $160.00/Day Per Diem Job Description This role focuses on industrial and data-center construction, installing and commissioning low-voltage and medium-voltage electrical infrastructure in new-build environments. You will work as part of an internal construction team to install, terminate, and energize new systems from drawings, then turn them over to operations. The position is hourly with overtime, involves extensive travel on a rotation schedule, and is based primarily in Southaven, MS for low-voltage work, with medium-voltage work performed at various active construction sites. Responsibilities • Install and terminate new low-voltage electrical infrastructure, including conduit, cable tray, underground duct bank, cable, wire, and 480 V building and feeder work., • Pull, land, torque, and energize new low-voltage equipment from construction drawings, one-line diagrams, manuals, and work packages, then turn systems over to operations., • Follow lockout/tagout and grounding procedures and support the first energization of new 480 V systems., • Perform hands-on work on 415 V and/or 480 V systems, including switchgear, busway, PDUs/UPS, main switchboards (MSBs), and grounding systems., • Install medium-voltage infrastructure such as e-house medium-voltage switchgear (MVSG), generator step-up transformers (GSUs), 15 kV and 35 kV cable, and duct bank., • Support hipot and very low frequency (VLF) testing of medium-voltage systems and work adjacent to live campus buses at 12.47 kV, 13.8 kV, and 34.5 kV., • Build and commission new medium-voltage infrastructure from drawings, ensuring proper installation and terminations, and then turn completed systems over to operations., • Apply NFPA 70E and OSHA 1910.269 safety practices, including lockout/tagout (LOTO) and switching/clearance procedures for medium-voltage work., • Use common electrical test tools such as multimeters, meggers, and ammeters to verify installations and support commissioning activities., • Perform physical construction work, including routing, installing, and securing electrical materials, and working with construction hand and power tools., • Work nights, weekends, and extended shifts as needed during construction and energization phases to meet project schedules., • Travel 80% or more on a construction rotation to active data-center construction sites, mobilizing with project teams and moving with the work as new facilities come online. Essential Skills • Minimum of 5+ years of industrial or data-center electrical construction experience installing conduit, tray, duct bank, cable, and 480 V terminations., • State journeyman electrician license for low-voltage inside-wireman work., • At least 5+ years of medium-voltage construction experience at 5 kV or above; 415/480 V experience does not count toward medium-voltage requirements., • Documented experience performing 15 kV and/or 35 kV terminations, supported by a resume or manufacturer terminator cards., • Industrial or data-center construction or commissioning experience, rather than facilities, service, or plant operations., • Ability to read and interpret construction drawings, one-line diagrams, manuals, and work packages., • Hands-on installation skills, including working from prints, making terminations, landing and torquing conductors, and performing physical construction work., • Working knowledge of NFPA 70E and lockout/tagout (LOTO) procedures; OSHA 10 alone is not sufficient., • Familiarity with OSHA 1910.269 requirements for medium-voltage switching, clearance, and safety., • Proficiency with common electrical test instruments such as multimeters, meggers, and ammeters., • Ability to lift 50+ pounds, work at heights, work in confined spaces, and perform tasks outdoors in all weather conditions., • Willingness to work in an hourly position with overtime, including nights, weekends, and extended shifts during construction and energization., • Ability and willingness to travel 80% or more on a construction rotation, with per diem and/or housing provided while on site. Additional Skills & Qualifications • Experience working specifically in data-center construction environments., • Experience supporting hipot and VLF testing of medium-voltage systems., • Comfort working adjacent to live campus buses at 12.47 kV, 13.8 kV, and 34.5 kV., • Experience installing e-house medium-voltage switchgear, generator step-up transformers, and associated duct banks., • Strong attention to detail and adherence to safety procedures when working on energized or potentially energized equipment., • Ability to function effectively on traveling project teams and adapt to changing site conditions and schedules., • Comfort with an hourly + overtime compensation structure and rotation-based travel assignments. Why Work Here? You join a fast-growing construction team that invests in long-term employee ownership and financial growth. Once you become a permanent employee, you receive $25,000 in equity that vests over four years, with 25% vesting after the first year and 6.25% vesting every quarter thereafter. This structure provides meaningful upside and aligns your success with the success of the organization, while offering steady hourly work with overtime opportunities and support for travel through per diem and housing. Work Environment This is a field-based, construction-focused role working primarily on industrial and data-center build projects rather than operating plants or facilities maintenance. You work with low-voltage systems at 415 V and 480 V and medium-voltage systems at 12.47 kV, 13.8 kV, and 34.5 kV, including switchgear, busway, PDUs/UPS, main switchboards, generator step-up transformers, and medium-voltage cable and duct banks. The role is hourly with overtime and requires flexibility to work nights, weekends, and extended shifts during critical construction and energization periods. You travel 80% or more on a rotation to active construction sites, with per diem and/or housing provided while on site. Work is physically demanding and performed at heights, in confined spaces, and outdoors in all weather conditions, using common electrical test tools and construction hand and power tools in a safety-driven environment governed by NFPA 70E, OSHA 1910.269, and lockout/tagout procedures. Job Type & Location This is a Contract to Hire position based out of New York, NY. Pay and Benefits The pay range for this position is $30.00 - $60.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in New York,NY. Application Deadline This position is anticipated to close on Oct 6, 2026. About Aerotek Aerotek® Inc. provides staffing and services solutions in manufacturing, logistics, construction, aviation, facilities and maintenance. We provide the expertise, solutions and people required to rise to the challenges of North American industry. Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North America, supporting more than 18,000 clients each year. Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To learn more, visit: Aerotek.com | 1-888-AEROTEK. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

AI Engineer 4 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n \n Team Description: \n \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n \n What You’ll Do: \n \n \n \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n \n \n The Ideal Candidate: \n \n \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n \n Basic Qualifications: \n \n \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description As a Diesel Truck Mechanic specializing in heavy-duty trucks, you will join a small team dedicated to maintaining and repairing Freightliner, Mack, and International vehicles. This role focuses on ensuring optimal engine performance, brake system reliability, and overall vehicle safety, with limited customer interaction. Proficiency in diagnostics and preventive maintenance is essential to support operational efficiency in a fast-paced environment requiring flexibility in scheduling. Responsibilities • Perform diesel engine repair and routine maintenance on heavy-duty trucks, • Conduct diagnostics and troubleshooting using Jaltest software and other tools, • Replace parts and repair hydraulic hoses as needed, • Test and maintain drum and disc brake systems, including DEF system maintenance, • Execute preventive maintenance to avoid breakdowns and ensure vehicle safety, • Document maintenance and repair activities accurately, • Collaborate effectively within a small team of 2-5 mechanics Required Qualifications • Minimum 2 years of experience in diesel truck mechanics, • Strong knowledge of diesel engine repair and hydraulic systems, • Proficiency in brake system maintenance, including drum and disc brakes, • Skilled in preventive maintenance and problem-solving, • High attention to detail and ability to manage time efficiently, • Flexibility to work nights and weekends as needed Preferred Qualifications • Technical Certificate in Diesel Mechanics, • Commercial Driver's License (CDL)\nCompany Description Leading energy infrastructure company providing fuels that keeps the the "city that never sleeps" running. Leading energy infrastructure company providing fuels that keeps the the "city that never sleeps" running.

Job Description At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact Pearce is seeking Experienced HVAC Technicians to join our team for servicing and repairing commercial HVAC equipment on telecom shelters located on Cell Tower sites. This is a fast-paced and rewarding job that is best suited for individuals who are responsible, self-directed, highly motivated, willing to travel, and looking to learn and grow in the Telecom industry. This is a regional position. Candidates should reside 60 miles of the East Rutherford, New Jersey area. Core Responsibilities • Maintaining cooling systems – diagnosing, troubleshooting, repairing, or installing and replacing components of entire systems., • Conducting performance checks and regular maintenance on HVAC equipment., • Performing additional maintenance or upgrades to out-of-season HVAC equipment., • Responding to service calls in a timely manner, including emergency call out services., • Timely and accurate completion of daily work reports., • Operate and maintain a motor vehicle safely and legally per the PEARCE Employee Handbook and insurance requirements. Specific duties may vary or evolve over time based on business and client needs. Core Experience • Must be Level 2 or Universal EPA Certified (Required)., • 3+ years of experience with HVAC maintenance (commercial preferred)., • Basic knowledge of electronic, mechanical, and electrical components including refrigeration systems is preferred., • Must be able to communicate effectively both verbally and by email. Physical/Work Environment At Pearce safety is our number one concern. Candidates must be able to comply with OSHAFCC/FAA/EPA Standards. • Candidates should reside 60 miles of the East Rutherford, New Jersey area., • Must be available for after-hours and weekend call outs on occasion., • Extensive daily travel in an independent work structure., • Occasional overnights required-company pays all travel costs and provides per diem., • Driving to remote work sites as needed., • Be exposed to ambient temperatures while working outdoors., • Lift and move equipment as needed (up to 50 pounds)., • Will be required to pass a Department of Transportation (DOT) physical. Compensation: $30.00-$40.00 hourly/DOE At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $30—$40 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Location: In-Person – New York Area Compensation: Commission + Team Override (High Six-Figure to Seven-Figure Potential) High Rise Capital is actively expanding and seeking an experienced MCA Team Lead / Team Manager to help build and scale a high-performance sales floor. This is a leadership role for someone who understands the MCA industry at a deep level and can both produce personally and elevate a team. We are not looking for someone who simply manages spreadsheets — we want a leader who can control the room, drive energy, and step into deals when necessary to get them funded. The right candidate understands underwriting, lender appetite, stacking strategy, and how to position files correctly to maximize approvals. This position requires someone who leads from the front. You must be comfortable opening deals, handling objections, structuring files, negotiating terms, and closing business — while also coaching reps to do the same at a high level. Requirements Key Responsibilities • Manage and develop a team of MCA sales representatives, • Run daily morning meetings and sales trainings, • Track and enforce KPIs (dials, talk time, submissions, approvals, fundings), • Assist reps with deal structure and lender placement, • Jump on calls to help close or save deals when needed, • Maintain and grow lender relationships, • Create a competitive, high-accountability production culture Requirements (Non-Negotiable) • Minimum 2+ years of direct MCA experience, • Proven record of personal monthly funding production, • Experience handling both clean paper and high-risk files, • Strong understanding of stacking, debt ratios, and underwriting logic, • Ability to open and close deals confidently, • Prior experience managing or mentoring reps preferred, • Comfortable handling large files, including 6- and 7-figure opportunities Benefits What We’re Looking For We want someone who: • Is competitive and production-driven, • Leads by example, • Can manage multiple personalities, • Thrives under pressure, • Wants to build a serious operation — not just collect a paycheck Compensation & Opportunity We offer a competitive base salary for proven managers, along with aggressive commissions on personal production and an override on total team volume. Performance-based bonuses and uncapped earning potential ensure that your income grows as your team scales. For the right leader, this role represents a legitimate high six-figure to seven-figure opportunity based purely on performance and team development. You will be operating out of our 12,000 square foot office with capacity for 120 seats. We provide the full infrastructure needed to win — dialer, CRM, data access, lender relationships, and operational support are all in place. We also have two full-time in-house recruiters dedicated to building sales teams. We will actively help you scale your floor, although candidates who can bring experienced reps with them will have a strong advantage. If you have real MCA experience and know how to run a sales floor while still closing your own business, we want to speak with you. To apply, please submit your resume along with: • Your average monthly production, • The number of reps you’ve managed, • The largest deal you have personally closed Serious applicants only.

In this role, you’ll make an impact in the following ways: \n\n • Lead or participate in the delivery of complex and challenging global audit assignments, with a primary focus on the Clearing Broker Dealer. \n, • Drive or participate in all phases of audit project execution including planning, fieldwork, and reporting in accordance with audit methodologies. \n, • Perform walkthroughs with process owners; document results in narratives/flowcharts; identify and document risks and controls; develop and execute testing strategy; prepare supporting workpapers; and document test exceptions and conclusions.\n, • Elevate potential audit issues to the Audit Manager and business management as soon as they are identified. \n, • Identify and draft meaningful issues impacting the business under review and challenge management to develop appropriate remedial actions to address the issues identified.\n, • Follow-up on remedial actions to ensure corrective actions have been appropriately implemented and where necessary, test the design, operating effectiveness, and sustainability of implemented actions.\n, • Build strong relationships with key stakeholders in the business and risk management areas and with colleagues throughout the global Internal Audit team. \n, • Engage in and document Continuous Monitoring activities to identify new or changing risk conditions for the covered businesses. \n, • Apply advanced analytical problem-solving skills and assist others in solving complex issues and identifying innovative solutions.\n, • Contribute technical or specialized skill sets or business knowledge not readily available elsewhere in the department to solve audit issues.\n, • Identifies opportunities for the use of AI/automation and actively participate in advancing recommendations for software support requests.\n, • Maintain up-to-date knowledge of the industry, best practice and regulatory requirements.\n, • No direct reports. Demonstrate leadership through work guidance and training of less experienced peers and through advice to assigned clients.\n, • Contribute to the overall achievement of team goals.\n, • Carry out other ad-hoc tasks and projects as directed by audit management.\n\n To be successful in this role, candidates should demonstrate the following qualifications and capabilities: \n\n • Bachelor’s degree or an equivalent combination of education and relevant work experience.\n, • Degree in Accounting, Finance, or another discipline requiring strong analytical and critical‑thinking skills.\n, • Certified Internal Auditor (CIA) designation or other risk‑management certifications preferred.\n, • 7–10 years of experience in financial services or banking, specifically within Internal Audit or Risk and Compliance Management.\n\n Technical Expertise in Clearing Broker‑Dealer Operations \n Candidates must have deep knowledge of clearing broker‑dealer functions and the full trade lifecycle, including: \n\n • Execution processes: Order routing, trade capture, and execution mechanics across various asset classes.\n, • Clearing operations: Trade comparison, affirmation, matching, and novation; understanding how clearing brokers mitigate counterparty risk and ensure post‑trade data accuracy.\n, • Settlement processes: End‑to‑end settlement cycles (e.g., T+1/T+2), including DVP/FOP, settlement instructions, fails management, and corporate‑action processing.\n, • Custody services: Asset safeguarding, custody controls, segregation requirements, reconciliations, asset servicing, and books‑and‑records responsibilities.\n\n Regulatory Knowledge \n Strong working knowledge of the regulatory environment governing financial services, including: \n\n • U.S. securities laws and regulatory structure (e.g., Securities Exchange Act of 1934).\n, • FINRA rules applicable to broker‑dealers, including supervision, margin, customer protection, communications, and reporting.\n, • SEC requirements such as customer asset protection (Rule 15c3‑3), net capital (Rule 15c3‑1), and recordkeeping/reporting obligations.\n, • Regulations specific to clearing activities, including clearing agreements, fully disclosed vs. omnibus arrangements, and responsibilities under FINRA Rule 4311.\n, • SIPC coverage and protections, including how clearing firms safeguard customer assets.\n\n Understanding of Financial Market Infrastructure \n Knowledge of the broader market ecosystem in which clearing brokers operate, including: \n\n • Clearing corporations and depositories (e.g., NSCC, DTC) and their interactions with clearing firms.\n, • Trade‑reporting systems such as CAT and TRACE.\n, • Operational‑risk domains, including cybersecurity, business continuity, resiliency, and data‑integrity expectations.\n\n Audit‑Relevant Technical Competencies \n\n • Ability to assess internal controls across clearing operations, custody activities, and trade‑lifecycle processes.\n, • Understanding of technology and systems architecture commonly used by clearing firms, including trade‑processing platforms and reconciliation tools.\n, • Familiarity with operational‑risk areas such as breaks, exceptions, margin calls, liquidity management, and collateral processes.\n\n Core Professional Skills \n\n • Strong written and verbal communication skills, with the ability to influence senior stakeholders.\n, • Solid understanding of risk‑management and control frameworks.\n, • Self‑sufficiency, initiative, and a proactive mindset.\n, • Excellent planning, coordination, organizational, and presentation abilities.\n, • Ability to thrive in a fast‑paced environment and adapt effectively as part of a team.\n, • Proficiency in Excel and other Microsoft applications, including PowerPoint, Word, Visio, and Power BI.\n, • Strong analytical skills, including the ability to interpret and apply analytics results in an audit context, along with critical‑thinking and problem‑solving capabilities\n, • End to End general banking/finance knowledge \n\n \n BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $69,000 and $160,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs. \n This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance and market factors.

Job Description National Power, LLC is seeking a safety-conscious Level 4 DC Installer to join our critical infrastructure team. The DC Installer is responsible for leading in the installation, maintenance, and testing of Direct Current (DC) power systems, including batteries, rectifiers, inverters, and associated cabling. This role supports essential infrastructure such as data centers, telecom networks, and utility facilities. Key Responsibilities • Install and commission DC power systems and components (batteries, rectifiers, inverters, etc.), • Route, terminate, and label DC power cabling according to engineering drawings and standards, • Perform battery builds, testing, and preventive maintenance, • Read and interpret electrical schematics, site plans, and technical documentation, • Ensure compliance with safety regulations, company policies, and industry standards, • Maintain accurate documentation of work performed, materials used, and site conditions, • Collaborate with team members, site contacts, and project managers to ensure timely and quality installations, • Travel to customer sites as required, • Experience with data centers, power installation in a telecom field and running cable up to 750VQualifications, • High school diploma or equivalent; technical training or certifications preferred, • 5+ years of experience in DC power installation or related electrical work, • Familiarity with telecom or data center environments is a plus, • Ability to use hand tools, power tools, and electrical testing equipment, • Strong attention to detail and commitment to safety, • Valid driver’s license and ability to travel frequentlyPhysical Requirements, • Must be able to lift, carry, and maneuver up to 75 pounds, • Ability to stand, walk, bend, kneel, crouch, and climb ladders or scaffolding for extended periods throughout the workday, • Must have good hand-eye coordination and be able to use hand tools, power tools, and testing equipment with precision, • Must have adequate vision (with or without corrective lenses) to read schematics, labels, and small print, and hearing sufficient to detect alarms, signals, and verbal instructions in noisy environments, • Comfortable working in a variety of environments including:, • Confined spaces (e.g., battery rooms, telecom closets), • Elevated areas (e.g., ladders, lifts, rooftops), • Outdoor conditions (heat, cold, rain) and indoor environments with limited climate control, • Frequent Northeast travel (NY, NJ, ME, VA, PA, RI), including short-notice trips, with flexibility to work nights, weekends, and holidays as needed by project schedules, • Must be able to wear required personal protective equipment (PPE) such as hard hats, gloves, safety glasses, steel-toed boots, and arc-flash gearPreferred Certifications (Not Required), • OSHA 10/30, • CPR/First Aid, • NFPA 70E Electrical SafetyCompensation & Benefits:, • Salary Range: $30.00 - $45.00 per hour, • Compensation is based on:, • Relevant experience in critical infrastructure sectors, • Technical knowledge and certificationsAdditional Benefits:, • Medical, Dental, Vision, Life, and Disability insurance, • 401(k) with company match, • Paid time off and paid holidays, • Training and certification opportunitiesAdditional Information:, • Criminal background check, pre-employment drug screen, and MVR are required, • This position requires travel to different job sites. Overnight stays may be necessary depending on the project location, • Overtime and weekend work may be necessary to meet project deadlines. The Installer should be flexible with work hours and be prepared for extended workdays National Power, LLC is an Equal Opportunity/Affirmative Action Employer and VEVRAA federal contractor and affords equal opportunity to all applicants for all positions without regard to race, color, religion, gender, national origin, age, disability, veteran status, gender identification, or any other status protected under local, state, or federal laws. Powered by JazzHR OfcrnAe1i4

Job Description At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact The Solar Battery Energy Storage System (BESS) Technician in the PEARCE Renewables Operations and Maintenance (OM) division performs tasks involving operations and maintenance (O&M) and physical labor at commercial and industrial solar energy projects located throughout United States. These are local sites-candidates should reside within 50 miles of the New York, New York areas. Core Responsibilities • Troubleshoot and perform preventive maintenance on Battery Energy Storage System (BESS) equipment., • Perform Lock Out Tag Out (LOTO) of equipment as an authorized person and under properly performed LOTO conditions., • Conduct daily safety and task planning discussions including pre-task planning, Job Hazard Assessments (JHAs), and Risk Assessments (RAs)., • Interact with vendors and customers in a professional manner., • Act as a team member to support site work which could include supervising field work onsite focusing on safety, quality, and efficiency. Specific duties may vary or evolve over time based on business and client needs. Core Experience • 3- 4+ years of electrical proficiency relating to electrical systems and components is required., • 3- 4+ years of Renewable energy experience is preferred., • A commitment to safety and attention to detail with the ability to recognize potential issues and provide safe solutions., • Post-secondary education is preferred., • Electrical certifications are preferred such as OSHA 10, OSHA 30, and NFPA70E., • Excellent written and verbal skills to meet Environmental Health and Safety (EHS) internal and external requirements is required. Physical/Work Environment: At Pearce safety is our number one concern. Candidates must be able to comply with OSHA Standards. • Candidates residing in the New York, New York area preferred., • Candidates must have a valid driver's license for at least a year., • Work possible rotating shifts., • Prolong standing and working in ergonomic challenging positions., • Varied climates based upon locations. Compensation: $35.00-$60.00 hourly/DOE At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $35—$60 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

AI Engineer 5 (SDK's: Gen AI Evaluation and MCP)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics \n • \n Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments \n • \n Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies \n • \n Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets \n • \n Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies \n • \n At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) \n • \n Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows \n • \n Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $161,800 - $184,600 for AI Engineer 3\n \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).