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Amazon Redshift is one of the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift. We are actively hiring a talented Senior Software Engineer in the Query Processing team of Redshift. Query processing is at the heart of Redshift data plane and is responsible for the massive parallel execution engine. Key job responsibilities As a Senior Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. You will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you’re always working on the most important stuff. About the team Amazon Redshift is a fully managed, AI powered, petabyte-scale cloud data warehouse service. Tens of thousands of customers today depend on Redshift to revolutionize their data analytics processes, providing vital insights for their businesses. Our team works on the execution engine of Amazon Redshift and our key areas of focus are high scalability, performance, and overall extend the capabilities of the execution engine. Redshift Query execution engine team develops best-in-class execution engine to cater to a variety of workloads. Engineers in this team come with distinguished expertise in various areas, such as - query execution, query optimization, high performance computing, computer architecture, compilers, distributed systems and data lake technologies. Our team consists of industry leading innovators, with multitudes of patents and research publications in this space. We are a fun-loving team, that is passionate about ideating, designing and delivering query processing and overall database architecture towards delivering industry leading price/performance. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team, • Experience with distributed computing and enterprise-wide systems Proficiency in at least one modern programming language like C++, Java, or Rust building and operating mission-critical, highly available systems, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Master's degree in computer science or equivalent, • Requires strong coding skills with emphasis on logical thinking, data structures, algorithms, and problem-solving capabilities., • Experience with distributed (multi-tiered) systems architecture, • Experience performing live system and core analysis using GDB Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ___. USA, NY, New York - 184,900.00 - 250,200.00 USD annually

The Role We are seeking a visionary executive leader to architect, build, and scale the operating platform that will power the future of digital asset investments and on-chain finance — spanning tokenized funds and financial assets, digital asset portfolios, on-chain investments and financial activities, and blockchain-native financial products. This role will lead the design and implementation and ongoing operation of the end-to-end infrastructure for the digital assets fund and portfolio investment services ecosystem, including accounting and valuation, portfolio and fund administration, and transfer agency, integrating blockchain infrastructure with institutional-grade controls, data architecture, and governance across both on-chain and off-chain environments. The successful candidate will combine deep operational expertise in traditional investment accounting and fund and portfolio administration and transfer agency with hands-on experience building blockchain and on-chain financial infrastructure. This candidate will also have a proven ability to lead organizations through complex, multi-stakeholder change. Key Responsibilities Strategic Platform Architecture * Define and execute the multi-year strategic roadmap for the digital asset operating platform — integrating fund administration and transfer agent, and portfolio-accounting functions with blockchain-based systems. * Architect the core infrastructure stack for digital asset investments, tokenized funds and financial assets — including modules for on-chain accounting, valuation, NAV calculation, fund administration, and transfer-agency services. * Design core ledger, data, and oracle frameworks that reconcile off-chain financial records with on-chain smart-contract and blockchain data. * Establish the technical and operational foundations for on-chain accounting, NAV calculation, investor servicing, and settlement. Organizational Design & Leadership * Build and lead multidisciplinary teams across operations, product, technology, accounting, data management, risk, and compliance to deliver the platform vision. * Design and implement organizational and governance structures and operating charters appropriate for digital asset and on-chain financial environments. * Recruit and mentor talent across finance, blockchain, and operations disciplines, fostering a culture of innovation, control, and accountability. * Implement decision-making frameworks and escalation paths that enable agility while maintaining strong institutional governance. Governance and Controls, Technology, Infrastructure & Integration * Lead design and implementation of on-chain fund-accounting and investor-record systems, integrated with enterprise data and record-keeping standards, fund-administration and transfer agent platforms. * Oversee development of accounting and back office administration infrastructure supporting digital asset trading, custody, staking, and yield activities. * Define policies for smart-contract deployment, private-key management, cyber resilience, and operational continuity. * Ensure audit readiness and regulatory compliance aligned with applicable regulatory agencies and authorities, including SEC, CFTC and equivalent global standards. * Establish data-governance, reporting, and control frameworks to ensure transparency, accuracy, and traceability across funds and portfolios. * Champion tokenization frameworks for different asset classes and product structures, including money-market funds, private credit, private equity, ETFs, and structured finance, and interoperability across blockchains. Cross-Functional Leadership & Stakeholder Management * Operate effectively within a large, matrixed organization, aligning functions across technology, operations, investment management, finance, risk, and compliance. * Navigate consensus-oriented cultures, build credibility, and drive alignment among multiple senior stakeholders and governance bodies. * Communicate with clarity across executive committees, board forums, and regulatory stakeholders to secure buy-in for digital-asset platform and product initiatives. * Serve as the internal bridge between traditional and blockchain-native teams, ensuring integrated business design and operational discipline. Industry & Ecosystem Engagement * Represent the firm in industry and regulatory working groups, shaping standards for tokenized fund and digital asset operations. * Establish strategic partnerships with custodians, administrators, oracle providers, and blockchain infrastructure firms. * Provide thought leadership on the future of on-chain fund services, digital-asset governance, and tokenized capital markets. Qualifications Professional Experience * 15+ years of progressive leadership experience in asset management, fund administration, or financial-operations roles, including at least 5 years in digital-asset, cryptocurrency, or blockchain-based finance. * Proven record of designing and implementing large-scale operating platforms supporting both traditional and digital assets. * Direct experience building and scaling teams and organizations, including defining structure, roles, processes, and performance governance. * Demonstrated success working across large, matrixed organizations with multiple senior stakeholders in a consensus-driven culture, achieving alignment and results. * Deep expertise in fund accounting, valuation, investor servicing, and transfer agency for traditional investment products. * Proven track record building infrastructure for cryptocurrency investment operations, including wallet management, custody, settlement, and on-chain reconciliation. Technical & Strategic Competencies * Strong understanding of blockchain architecture, smart-contract design, tokenization standards, and interoperability protocols. * Familiarity with DeFi primitives (staking, liquidity pools, lending protocols) and their integration into institutional frameworks. * Expertise in designing data architecture, reconciliation, and control frameworks. * Proven ability to translate strategic vision into executable programs through structured governance, roadmap execution, and stakeholder management. Leadership Attributes * Visionary yet pragmatic leader who combines strategic insight with operational execution. * Exceptional communicator capable of aligning diverse senior stakeholders around a common mission. * Deep curiosity about how blockchain transforms investment operations and a disciplined approach to risk and compliance. * Strong sense of ownership and commitment to building institutional infrastructure for the next generation of finance. The base salary range for this position is $185,000-$400,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Investment Operations

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: 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. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications * Bachelor’s Degree * At least 7 years of experience with application architecture and design patterns. * At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications • Degree in Computer Science or a Master’s Degree in Software Engineering, • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management), • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference, • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Vice President, Client Segment Marketing, Wealth Intermediaries At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Client Segment Marketing, Vice President, Wealth Intermediaries to join our Global Client Marketing team. This role is located in New York NY. In this role, you’ll make an impact in the following ways: • Develop a deep understanding of the assigned client segment(s), including their needs, pain points, and decision-making behaviors., • Create and execute segment-specific go-to-market strategies aligned with business goals and revenue targets., • Partner with Platform, Communications, and Commercial teams to ensure consistent messaging and alignment with business priorities., • Design and execute multi-channel marketing campaigns, including digital, events, email, and account-based marketing (ABM)., • To be successful in this role, we’re seeking the following:, • 5-10 years of B2B marketing experience, preferably in financial services or a related industry., • Proven experience developing and executing marketing strategies for defined client segments., • Excellent written and verbal communication skills, with the ability to craft compelling narratives for sophisticated audiences. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $68,000 and $169,000 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. This position is at-will and the Company reserves the right to modify base salary (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. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. Position Summary This hybrid role is ideal for someone who enjoys being on the road and working in a hands-on warehouse environment. The primary responsibility is to operate a 26 ft refrigerated box truck for local deliveries. When not driving, you'll assist with day-to-day warehouse tasks including receiving, picking, and organizing inventory. Key ResponsibilitiesDriving (as scheduled): • Safely operate a 26 ft refrigerated box truck between CookUnity facilities and delivery points., • Ensure safe handling of temperature-sensitive products., • Conduct daily vehicle inspections and report maintenance needs., • Refuel and clean the truck regularly to ensure operational readiness., • Maintain accurate delivery logs and records.Warehouse Operations (when not driving):, • Receive and inspect incoming products., • Organize and store ingredients and packaging materials., • Pick and stage items for production or delivery., • Support general warehouse organization and cleanliness.Qualifications, • Experience driving a 26 ft box truck (CDL not required, but a plus)., • Ability to lift up to 50 lbs and work in cold storage when needed., • Dependable, proactive, and team-oriented. 🩺 Health Insurance coverage with Cigna ✅ Weekly payments 🚀 Opportunity for advancement If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. #enghp Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$22—$26 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionSell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. We’re looking for a highly motivated and results-oriented Manager, Ads Partner Strategy to join Spotify’s Business Development team. As a Manager, Ads Partner Strategy, you will be responsible for managing and optimizing advertising partnerships across various new and existing clients. Your primary focus will be on maximizing SAX revenue through project managing DSP and Partner integrations across XFN teams, account development, product activation and troubleshooting issues. The ideal candidate possesses a strong understanding of digital advertising, programmatic buying, and data analysis.What You’ll Do • Develop and maintain strong relationships with multiple clients, understanding their business objectives and advertising needs, • Collaborate with internal teams (e.g., Product, Sales, Marketing and Technical Operations) to ensure seamless integrations and activation for all partnerships, • Monitor and analyze Partner performance, identifying trends, opportunities, and areas for improvement, • Troubleshoot technical issues and work with internal/external support teams to resolve any challenges, • Track and deliver regular reporting of all new and existing partnership status’s and performance to your Senior Manager and broader teams as necessary., • You have a Bachelor's degree in Marketing, Advertising, or a related field, • You have 5+ years of experience in digital advertising, with a focus on programmatic buying and DSP management, • You have a proven track record of successfully managing and optimizing relationships, • You have a strong understanding of DSP platforms, ad exchanges, and the programmatic ecosystem, • You have proficiency in data analysis and reporting tools (e.g., Google Analytics, Excel), • You have excellent communication, interpersonal, and presentation skills, • You have the ability to work independently and as part of a team in a fast-paced environment, • You have strong analytical and problem-solving skills, • You are passion for digital advertising and a desire to stay ahead of the curveWhere You’ll Be, • This role is based in New York, NY Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here:

Sr. Lead AI Engineer (Gen AI Platform Services) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 DescriptionWe are Rokt Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network power billions of transactions connecting hundreds of millions of customers, trusted by the world’s leading companies. We’re a team of builders helping smart businesses meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue - and often all their profits - from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. We have a defined career ladder with clear expectations, transparent compensation, and clear paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for an AI Operations Accelerator Target total compensation ranges from $90,000 - $136,000, including a fixed annual salary of $85,000 - $125,000, an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role At Rokt, we believe the best operators don't just run systems - they reinvent them. As an AI Operations Accelerator, you'll join Rokt Operations, the team responsible for accelerating client impact, protecting the customer experience, and reducing friction so we can operate at 5x speed. Operations is a team of generalists. You'll start by learning our systems hands-on - executing real workflows, understanding how our products work, and building the context that makes you dangerous. Then you'll do what great operators do: spot what's slow, manual, or broken - and fix it using AI, automation, and first-principles thinking. Most early-career roles define a narrow scope. This one doesn't. Our work spans client launches, issue investigations, network monitoring, QA, and tooling - touching nearly every part of Rokt's go-to-market motion. In your first year, you could automate a recurring workflow that saves the team hours each week, redesign a process that removes days of friction from a critical path, or build a tool that helps the team make better decisions faster. To set you up for success, you'll go through a structured onboarding program designed to build deep context on Rokt's products, systems, and operating model - so you can start contributing quickly and grow into driving meaningful impact. Requirements What You’ll Do • Streamline & automate Ops workflows: Identify inefficiencies across launch, QA, monitoring, troubleshooting, approvals, and operational processes. Design and implement AI-enabled automations that reduce time and errors., • Build internal tools: Create and deploy tools (often AI-assisted) that improve decision-making, increase visibility, and remove bottlenecks for Ops and our cross-functional partners., • Improve speed + quality outcomes: Measure the impact of what you ship, iterate quickly, and help drive improvements against our team goals., • Collaborate with stakeholders: Partner closely with teams like GTM, Solutions, Product, and Engineering to understand pain points, align on outcomes, and land changes that stick., • Get trained at speed: Learn the ins and outs of Rokt’s platform and internal tools through hands-on work, then use that context to accelerate via automation and better systems. Who You Are • Background agnostic: Your path can be unconventional. What matters is how you think, learn quickly, and deliver results. You’re humble, curious, and not defined by titles or credentials., • Analytical & resourceful: You dive into unknown areas head first, use data to drive decisions, and break problems down to first principles., • AI fluency: Given a manual problem, you can identify the right tools and approaches, generate a quality output, and automate the process along the way., • Self-starter with ownership: You take ideas from concept to implementation. When you spot a problem, you build toward a solution and own the outcome., • Adaptable & resilient: You’re comfortable with ambiguity. You iterate quickly when something doesn’t work., • Impact Across the Business: This role isn’t confined to one team - you will get exposure, and build subject matter expertise, in many areas of the business. You’ll gain a broad view of the company and improve how all teams operate. The solutions you build can save hours of work and drive significant business value., • Innovate with AI: Be a pioneer in applying AI and automation internally at a company that truly values innovation. If you have creative ideas for using AI, Rokt is the playground to bring them to life., • Endless Learning: Every project is a new puzzle to solve across different domains, so you’ll constantly expand your expertise in operations, analytics, product, and more. With Rokt’s rapid growth, new challenges and opportunities to learn will never stop coming., • Empowered Culture: Join a team of owners in a culture that encourages you to act boldly and learn from every experiment. You’ll have autonomy to innovate, support when needed, and recognition when you deliver results., • Great Environment & Benefits: Work with smart, down-to-earth colleagues in a vibrant, inclusive workplace. Rokt offers transparent career progression, continuous development opportunities, equity ownership, and perks to support your growth and well-being. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office minimum 4 days per week). We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team. Note: The first stage of the recruitment process for this role is to complete a 20-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss next steps.

Job DescriptionSalary: North America AgencyUnderwriting Operations Lead Environmental and Excess Casualty New York Company Summary Mosaic is a global specialty insurance platform with an innovative structure allowing deployment of different forms of capital aligned for the benefit of clients and partners. We underwrite for 40 other top-rated carriers alongside our Lloyds syndicates 1609 and 2610offering lead-line + syndicated capacity, and claims settlement authority across eight product lines via seven countries. We harness the heritage of Lloyds and benefit from the markets global licenses and financial-strength ratings. Job Spec Mosaic is looking for a North America AgencyUnderwriting Operations Product Lead. This position is responsible for running the day-to-day UW operations for Mosaics Environmental and Excess Casualty product lines, including management of onshore delivery operations. Responsibilities • Provide daily management of all aspects of agency underwriting operations for Environmental and Excess Casualty lines of business, • Overall ownership of the delivery of agency UW operations for Environmental and Excess Casualty, ensuring timely and accurate services to Mosaics Syndicated Capital Management (SCM) partners, • Liaison/communicate with North America Environmental and Excess Casualty UW teams to deliver UW operational processing, provide updates on operational performance and address queries/questions, • Coordinate with international agency operations counterparts to ensure global continuity in governance, process, and communication, as well as managing expectations and deliverables to SCM partners, • Act as key point of contact for mitigation of any operational issues/concerns raised by stakeholders or customers, • Conduct monthly UW meeting to review, • Prior month end reporting (review through month-end report), • Current status of submissions, binds, endorsements, etc, • Trends in queries (focusing on specific queries that need UW assistance and how to address them prior to being sent to UW), • Trends in how data is received (prior to inception, within one month, within two months, etc), • Provide regular reporting to UW product teams for open queries, • Responsible for management and performance of offshore operations as relates to service levels/KPIs, quality and timeliness of delivery, issue resolution, corrections, audit and benchmarking, • Be key point person between onshore underwriting teams and offshore processing teams. Act as point of escalation for any UW offshore operations issues, • Perform quality control on sample of transactions processed by offshore teams, • Undertake, review, and develop optimal process flows. Identify and implement additional opportunities to best maximize and leverage offshore operations capabilities, • Facilitate monthly, quarterly, and annual planning with Environmental and Excess Casualty UW teams to determine future operations resourcing requirements, • Ensure operating procedures and guidelines are in place, followed and maintained, • Develop necessary corrective action plans, as needed, related to both business requirements and UW operations performance and delivery quality, • Participate in projects to improve/automate operations, acting as subject matter expert for the Environmental and Excess Casualty product lines Skills and Experience • 610 years processing/supervising underwriting operational activities within North American insurance agency (e.g. submissions, clearance, binding/booking, etc); offshore operations experience is essential, • Processing/working with Environmental and Excess Casualty lines of business is essential, • Processing for a commercial/specialty insurance agency acting as coverholder of Lloyds is preferred, • Ability to communicate effectively with employees/customers, mitigate potential issues that arise, • Ability to conceptualize and execute innovative plans impacting overall efficiency and productivity of operations, • Ability to work collaboratively with a geographically distributed team and quickly understand and adapt to new cultural norms/standards, • Ability to effectively manage offshore operations and drive maximum value from the relationship, • Ability to work with all levels of employees and management, • Self-motivated individual capable of working to a deadline when required, • Comfortable working with ambiguity in a young and maturing organization, • Strong use of computer software, including all Microsoft Office products (Excel, Word, PPT, Outlook, Power BI, etc); knowledge/experience working with policy administration systems Mosaic offers • Knowledge-driven, supportive, and collaborative entrepreneurial culture, • Very competitive total rewards compensation package, reflecting growth of the business, • Opportunity to build and grow the business Mosaic celebrates diversity, equity and inclusion. We embrace these pillars of excellence as crucial to our business success. We are an Equal Opportunity Employer. The base salary offered for the successful candidate will be based on compensable factors such as job-relevant education, job-relevant experience, training, licensure, demonstrated competencies, geographic location, and other factors.The salary this position is $100,000 - $130,000.

Job DescriptionAbout Our Company:Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. Our platform gives customers access to 45+ digital edge and Scalelogix℠ hyperscale edge data centers in 13 markets across the United States and Canada along with a carrier-dense ecosystem of 710+ networks, 360+ cloud providers, 35+ onramps and seven Internet exchanges. We provide our nearly 2,000 customers with direct access to our local operations teams, resulting in strong partnerships enabled by exceptional operational support and unparalleled customer service. Backed by one of the largest North American infrastructure funds, Cologix's experienced leadership team, certified staff and commitment to ESG initiatives help form a culture that values our people, our environment and our clients. About the Position:The Data Center Technician, HVAC will play a critical role in performing skilled mechanical maintenance duties in the inspection, repair, installation and alteration of Data Center heating, ventilation, air conditioning and refrigeration systems and related equipment. They will perform preventive maintenance and routine servicing of equipment in the Parsippany facility. We are looking for an early career specialist who is looking to gain excellent experience in the Data Center Industry with an opportunity to grow with the company as we continue to expand. Shift available:Wednesday- Saturday 5 pm- 3 am Training will be 8 am- 5 pm for the first 90 days What you do daily: • Inspect, repair, modify and install HVAC equipment including refrigeration and air conditioning compressors, receivers, condensers, chillers, water cooling towers, forced air converter units, pumps, automatic and hand valves, expansion valves and capillary tubes, • Conduct regular preventive maintenance inspections of refrigeration units, isolated heating and ventilating units, electrically operated air-conditioning equipment, and make necessary adjustments or repairs, • Repair or replace defective parts in units and equipment and their controls, including thermostats, automatic switches, fan controls, log switches, damper motors, louvers, relays, filters, controls, belts, compressors, heat exchangers, high limit controls, pressure controls, and safety valves., • Operate a variety of hand and power tools, welder torch, vacuum pump, test equipment utilized in the trade and a motor vehicle; maintain equipment in effective and safe working condition; maintain parts and tool inventory, • Maintain routine records and prepare reports, • Assist co-workers with other tasks as needed, • Responsible for assisting with the cleanliness of the entire facilityWhat makes you a good fit: (Qualifications), • 5+ years of experience in HVAC related work and/or educational equivalent, • Ability to perform skilled mechanical maintenance duties in the inspection, repair, installation and alteration of district heating, ventilation, air conditioning and refrigeration systems and related equipment and facilities, • Experience calibrating systems, • Knowledge of preventive maintenance and routine servicing of equipment., • Ability to write Method of Procedures (MOPs) for Preventative Maintenance, installation, and repair activities, • Capability to diagnose defects, and install, repair and maintain heating, ventilating, refrigeration, and air-conditioning units, • Adept at following oral and written instructions, • Ability to follow specified policies and procedures., • Ability to operate specialized machinery, equipment and tools utilized in the repair, installation and maintenance of heating, ventilation, air conditioning and refrigeration systems, • Effective communicator both orally and in writing, • Collaborative team player, • Comfortable working independently and with little direction – resourceful, • Comfortable working in a fast-paced 24/7 environment with flexibility to work after-hours and weekends when needed and available for rotating on-call support, • Demonstrated experience meeting schedules and time lines, • Must be able to routinely lift objects weighing up to 50 pounds, • Autonomous with team spirit NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as assigned to meet the ongoing needs of the organization. Cologix is proud to be an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. If you need assistance in applying for any of our open positions, please contact us at or call 720-940-2551. The California Consumer Privacy Act (“CCPA”) creates privacy rights relating to the collection, sale, disclosure, and deletion of consumers’ personal information. The CCPA requires businesses to provide consumers, including job applicants and employees, with information about their rights, including a description of the categories of personal information to be collected and the purpose for which the information will be used. For additional information regarding your rights, including a description of the categories of personal information to be collected and the purpose for which the information will be used, please see . Cologix’ data centers are ISO 27001:2022 and ISO 14001:2015 certified. These certifications demonstrate Cologix’s commitment to both information security and environmental stewardship. At Cologix, protecting information assets and minimizing environmental impacts are everyone’s responsibility. Cologix employees are responsible for:• Understanding and following Cologix’s information security, cybersecurity, privacy,and environmental management policies, procedures, and standards.• Ensuring conformance with the requirements of both the Information SecurityManagement System (ISMS) and the Environmental Management System (EMS).• Remaining vigilant and reporting any information security or environmental incidents,vulnerabilities, risks, or non-conformities to the appropriate teams.• Actively participating in Cologix’s efforts to maintain and improve information securityand environmental performance.

This job is with Aristocrat, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Our Field Service Operations team is responsible for providing technical support to drive the success of our customers at Aristocrat Gaming. As a Field Service Technician, you will be part of a team with employees across the United States and Canada. Our team prides itself on Aristocrat’s people-first culture and bringing fun and passion into the work we do daily. Whether it’s driving to a casino, troubleshooting a problem, or installing a new cabinet, we always bring the power of play to life. If you enjoy solving problems, working with a team, and engaging with customers, this is the role for you! We are in search of a hardworking, customer-focused Field Service Technician to join our upbeat team in Field Operations. As a Field Service Technician for Aristocrat Gaming, you will be responsible for troubleshooting, converting, installing, maintaining, repairing, and removing gaming machines, signs, and gaming controllers with little assistance. You will bring immediate value to the organization by ensuring the seamless operation of our customers’ gaming facilities through timely and efficient technical support. This is an entry-level position. You will complete a robust, hands-on, and virtual training program throughout your first 6 months. What You’ll Do Install, convert, troubleshoot, repair, and remove Aristocrat gaming machines, signs, and gaming controllers. Perform routine maintenance on gaming machines. Respond promptly to customer calls and emergency requests, prioritizing critical issues. Complete Pre-Site Surveys, follow the schedule, and perform service activities assigned. Maintain inventory accuracy and follow the parts inventory process. Support customers with technical inquiries and documentation. Report on trends, needs, and service challenges. Review pre-install documents to determine if parts will be needed to complete the installation. Gather and report accurately on service activities by using field service management reporting tools. Uphold high standards of professionalism, integrity, and customer service daily. Self-direct and carry out day-to-day tasks with little direction. Follow Aristocrat’s Safety Guidelines. What We're Looking For High school diploma, GED, or equivalent work experience. At least 21 years of age. Have a clean and valid driver’s license and maintain an insurable driving record. Able to acquire a gaming license as required (Gaming License requirements will vary depending on location). Upon hire, Aristocrat will assist with application, payment, and renewal. Willing to do daily travel in the assigned territory. Regional and national travel may be up to 30%. Self-starter, flexible, adaptable, highly organized, and proactive. Passion for technology and solving problems. Able to remain calm in a fast-paced work environment, prioritize multiple tasks, and accomplish goals. Able to communicate effectively and constructively with customers and coworkers. Preferred Qualifications Experience as a slot technician, field service of technical products, or other diagnostic work. Experience working in the field, being on call, and traveling for work. Experience with electronics, mechanics, and troubleshooting Physical Requirements Can lift and move a minimum of 50 pounds. Able to push up to 250 pounds with the assistance of moving equipment. Able to climb and balance on ladders. Have good manual dexterity, hand/eye coordination, and good eyesight. Able to drive and operate a vehicle for extended periods. Work Conditions Operate designated service vehicles equipped with GPS and real-time camera monitoring systems. Operate a box truck safely and efficiently. Work in a crowded, noisy, and smoky casino environment. Travel with little or no notice and for a possible extended period Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations Up to 75% Pay Range $22.00 - $32.00 per hour Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity. This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at . Additional Information This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat’s gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. ]]>

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Site Selection Manager partners closely with Capacity Planning, Program Management, Engineering, Finance, Legal, and external partners to maintain a disciplined, data-driven pipeline that aligns with CoreWeave's technical, commercial, and time-to-market objectives. About the Role: We are seeking an experienced Site Selection Manager for the Americas to support CoreWeave's continued expansion across the United States and broader Americas region. This role is responsible for identifying, evaluating, and advancing data center site opportunities, ensuring deals progress efficiently from early market screening through lease execution and delivery readiness. Americas Site Identification & Evaluation • Lead site-level due diligence including power and utility capacity, substation access, utility timelines, fiber availability, zoning, permitting, environmental considerations, and constructability., • Gather, review, and validate inputs from landlords, utilities, brokers, consultants, and municipalities., • Support lease negotiations and commercial structuring in partnership with Real Estate and Legal., • Track deal progression, milestones, and deliverables from LOI through execution., • Maintain accurate site records, documentation, and status updates in Salesforce and internal tracking systems., • Monitor deal health, proactively flag risks or delays, and ensure data integrity across the Americas pipeline., • Serve as the primary site-level point of coordination across Engineering, Capacity Planning, Networking, Finance, Legal, and Operations., • Support clean handoff from site selection into delivery, buildout, and operations phases., • Manage relationships with brokers, landlords, utilities, consultants, and development partners across U.S. and Americas markets., • Evaluate inbound site opportunities and ensure consistent screening against CoreWeave standards. Who You Are: • 10+ years of experience in data center site selection, infrastructure development, commercial real estate, or related fields., • Demonstrates comprehensive knowledge of U.S. and Americas data center markets, including utility infrastructure and regional regulatory frameworks., • Experience facilitating or leading commercial lease negotiations and executing complex due diligence workflows., • Proven ability to manage high-volume project pipelines with a high degree of accuracy and consistent follow-through., • Demonstrated success in managing multiple concurrent deals and meeting deadlines within fast-paced, high-growth environments., • Exceptional written and verbal communication skills, with the ability to convey complex technical or financial information to diverse audiences., • Demonstrated experience in the end-to-end data center site selection process, including conducting comprehensive due diligence and feasibility assessments., • Strong technical knowledge of power procurement, utility infrastructure, and zoning/permitting requirements across diverse U.S. markets., • Proven track record of advancing complex transactions from inception to close while identifying and mitigating commercial and operational risks., • Able to partner effectively with internal stakeholders and external vendors to drive project execution and meet organizational milestones., • Proficiency in Salesforce or equivalent CRM/pipeline management platforms is strongly preferred. Be Curious at Your Core * Act Like an Owner * Empower Employees * Deliver Best-in-Class Client Experiences * Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $160,000 - $215,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Senior Vice President, Equities and Fixed Income Front Office Engineering Lead (Full-Stack Engineer) At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Senior Vice President, Equities and Fixed Income Front Office Engineering Lead – Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partner with Product, Trading, and end clients to analyze, define, challenge, and solution technical trading workflows., • Manage and mentor a high performing engineering team, • Play a key role in the design, architecture, and implementation of:, • Trading research platform, • Real-time decision support service, • Reporting platform and service, • Build a historical and real-time data management platform for a global, multi-asset trading organization., • Design and architect API-driven solutions, utilizing open-source resources., • Partner with extended BNY Controls, Risk and Networking teams to maintain overall architecture and trading compliance, • Drive with an AI first mind-set towards automation and code-refactoring, • Drive system stability and reliability through data quality and automation to mitigate risks associated with trade execution., • Strong understanding of either Equities or Fixed Income trading workflows, • Experience working with Execution Management Systems (EMS) and Order Management Systems (OMS)., • FIX protocol/messaging knowledge, • Experience managing a team of highly skilled engineers, • Experience in Python coding. Java or C plus is a plus., • Experience with Equities, Derivatives, Futures, FX, and/or Fixed Income data, analytics, and reporting., • Broad experience with front-end and server-side, multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $116,000 and $240,000 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. This position is at-will and the Company reserves the right to modify base salary (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.

Senior Vice President, Product Design Lead, Platform At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Vice President, Product Design Lead, Platform to join our Depository Receipts team. This role is located in New York, NY We are seeking a Product Design Lead to own and drive the design strategy for one of our core platforms. This role is suited for a highly experienced individual contributor who excels at designing complex systems, operates with a high degree of independence, and can bring clarity and coherence to ambiguous problem spaces. The Product Design Lead will be responsible for shaping end-to-end platform experiences, translating complex requirements into intuitive, scalable designs. While the platform operates in a regulated financial environment, success in this role depends less on prior domain expertise and more on the ability to rapidly learn, ask the right questions, and apply strong design principles to unfamiliar and complex problem domains. The ideal candidate will bring the following expertise: User-Centered Design at Platform Scale Lead design with a strong user-first perspective, grounding decisions in user needs, behaviors, and research insights. Balance usability, consistency, and flexibility to create platform experiences that support both expert users and evolving product needs. Ability to Learn and Navigate Complex Domains Demonstrate comfort working in highly complex, regulated environments without requiring prior subject-matter expertise. Quickly develop an understanding of new domains, such as depository receipts, by synthesizing information from product, engineering, and business partners, and translating that understanding into clear, user-focused design solutions. End-to-End Journey Thinking Map and analyze multi-step, cross-system user journeys involving clients, internal teams, and supporting systems. Identify friction, gaps, and opportunities to improve usability and coherence across the platform, and use journey artifacts to align teams on shared user needs and design intent. Interaction and UI Design for Complex Workflows Demonstrate strong craft in designing sophisticated web interfaces and workflows for complex systems. Create clear interaction models, information hierarchy, and navigation patterns that make intricate processes understandable and efficient. Use motion and micro-interactions thoughtfully to guide users and reduce cognitive load. Design-Led Collaboration and Influence Partner closely with product managers, engineers, and business stakeholders as a design expert. Clearly articulate design principles, user impact, and rationale behind design decisions, helping non-design partners understand trade-offs and align around user-centered solutions, without requiring them to be design experts themselves. Independence and Ownership Operate with minimal direction, driving design work from problem framing through execution. Proactively identify design opportunities, risks, and dependencies, and move work forward in ambiguous environments while maintaining alignment with broader platform goals. Design System Contribution Contribute to and help extend a global design system, ensuring consistency and reuse across the platform. Identify where new patterns are needed, document them clearly, and collaborate with other designers to support adoption and scalability. Complex Systems Thinking Apply systems thinking to connect workflows, data, and interactions across the platform. Distill complexity into coherent experiences while preserving the depth and control required by advanced users. Communication, Critique, and Storytelling Communicate design concepts clearly and confidently to diverse audiences. Use visual storytelling to explain how design decisions support usability, consistency, and long-term platform health. Participate in and lead design critiques that raise the quality of work across teams. Design Leadership Without Line Management Act as a senior design leader by setting a high bar for craft, rigor, and clarity. Provide informal mentorship and feedback to other designers, helping elevate design quality through example, critique, and collaboration rather than formal people management. Portfolio Requirements A portfolio is required and should demonstrate strong interaction design, systems thinking, and experience working in complex or ambiguous problem spaces. A Figma link with view access is acceptable. Experience Typically, a candidate at this level will have 10–12 years of experience designing digital products, including time spent on complex, enterprise, or regulated systems. Prior domain expertise is less important than demonstrated ability to learn new domains and apply strong design principles effectively At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $246,000 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. This position is at-will and the Company reserves the right to modify base salary (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.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Associate, FX Overlay to join our Execution Services Client Platform team. This role is located in New York, NY. In this role, you’ll make an impact in the following ways: • Serve as a subject matter expert for the day-to-day operations of a Middle Office FX Overlay Operations team., • Responsible for owning assigned client relationships, engaging with clients daily., • Ensure work produced meets product/service standards and exceeds quality standards., • Drive efficiencies in the daily environment – look to deploy AI, Digital Tools and automation initiatives on a consistent basis., • Constantly identify opportunities for workflow improvement and operational efficiency, with a goal to reduce manual touchpoints and ongoing capacity creation., • Ensure procedures are properly documented., • Responsible for publication and reporting of client KPIs to clients and showcasing these results in periodic service reviews., • Bachelor’s degree in finance or the equivalent combination of education and experience., • 5-7 years of total relevant work experience preferred., • Experience in Foreign Exchange, FX Overlay, Currency Administration, Currency Hedging, Fund Accounting, Asset Servicing, or the Mutual Fund/ETF industry required., • Proven track record in implementing change. Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025 BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $58,000 and $120,000 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. This position is at-will and the Company reserves the right to modify base salary (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.

Vice President, Fixed Income and Equity Data Management Engineer - Full-Stack Engineer At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Fixed Income and Equity Data Management Engineer- Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partnering with product, quants, traders, and ops; translating requirements into robust data solutions., • Play a key role in the design and architecture of trading and market data structures, • Design and build a historical and real-time data management platform for a global, multi-asset trading organization., • Ensure data integrity through proper data quality and validation, • Support and work alongside a cross-functional engineering team on the latest technologies, • Drive with an AI first mind-set towards automation and code-refactoring, • Hands-on programming of well-designed, testable, secure, and efficient code., • Strong understanding of either Equities or Fixed Income trading workflows, • Solid understanding of market microstructure and OMS/EMS flows (FIX, order types, venue routing) to design practical normalization., • Strong understanding of database schemas and structures, • Strong in Python and SQL coding, • FIX protocol/messaging knowledge, • Demonstrates proficiency in the design, development, and implementation of data, reporting and database technologies and tools., • Broad experience with multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $90,000 and $200,000 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. This position is at-will and the Company reserves the right to modify base salary (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. For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

Job Title: Principal / Director – Legal Practice Location: Manhattan, New York Company: Talisman Advisory Partners LLC Overview Talisman Advisory Partners is a specialist search firm focused on energy, infrastructure, power, renewables, and adjacent investment platforms. We partner with sponsors, developers, operators, and funds on highly consultative, senior-level searches across investment, finance, and legal. We are hiring a Principal or Director to build and scale our Legal Practice in New York. This is a senior, revenue-generating role suited to an experienced legal recruiter with an established network, strong business development capability, and clear sector credibility. The role sits at the intersection of legal talent and real asset investing, supporting clients operating in regulated, capital-intensive, and transaction-driven environments. The Role This position operates as a true 360 consultant role, with responsibility for originating, winning, and delivering retained and contingent legal search mandates. You will play a central role in building out Talisman’s legal capability, with a particular focus on in-house legal hiring across energy and infrastructure platforms, where legal teams are critical to enabling investment, development, financing, and asset operations. Typical mandates will include: • AGC / DGC hires supporting platform build-outs and geographic expansion, • Senior Counsel hires across project finance, M&A, regulatory, and commercial functions, • Legal team builds within PE-backed developers, IPPs, infrastructure funds, and portfolio companies, • Strategic hires aligned to energy transition, grid modernization, and large-scale capital deployment The role offers significant autonomy, market visibility, and the opportunity to shape a core practice area within an entrepreneurial firm. Why Talisman • Deep sector specialism with genuine market credibility across energy and infrastructure, • Highly consultative, relationship-driven search model, • Entrepreneurial environment offering autonomy, flexibility, and room to build, • Opportunity to play a visible role in shaping and scaling a core practice area, • Direct investment and sponsorship from the executive leadership team to build out the Legal Practice as a core growth vertical, • Access to shared client relationships, live mandates, and cross-sell opportunities to accelerate desk build-out and revenue generation, • Ongoing support across hiring, marketing, and infrastructure to enable rapid scaling of the practice For a confidential discussion about your legal recruitment career, email for more information

Title: Volunteer — CollabED Inc. CollabED Inc. is a 501(c)(3) nonprofit organization built by educators, for educators. Our mission is to create equitable, accessible spaces where teachers connect, share best practices, and engage in meaningful professional development that enhances student outcomes. We are continually seeking thoughtful, mission-aligned volunteers who want to contribute their time, talents, and energy to strengthening the educator community. Volunteer opportunities span several focus areas · Community & Content — Cultivating meaningful spaces where educators connect, reflect, and share. · Development & Fundraising — Supporting sustainable growth through partnerships and philanthropic efforts. · Digital Brand & Learning Platforms — Elevating our voice across social media and digital channels. · Outreach & Onboarding — Welcoming new members and expanding our reach. · Operations & Platform Support — Strengthening the systems that keep the organization running smoothly · “The Stacks” - Curating and organizing high-quality, teacher-tested resources that make The Stacks a go-to space for practical, relevant classroom ideas. · “Bulit By Educators: A CollabED Podcast” - Supporting the creation and distribution of Built By Educators by identifying powerful moments, shaping content, and helping amplify authentic educator voices. Specific roles and availability vary. We work collaboratively to align volunteers with responsibilities that match their skills, interests, and capacity. Most volunteer roles require approximately two to five hours per week. Our structure is intentionally flexible and designed to be sustainable alongside full-time professional responsibilities. This is a volunteer opportunity within a mission-driven organization. If you believe in the power of educator collaboration and want to help build something meaningful, we invite you to apply. Apply through our website to begin the conversation.

The Merker Group (a leading National recruiting firm), is working a role for one of our best Am Law 100 clients in search of a highly qualified Junior to Mid-level Associate to join its premier Sponsor-Side Project Finance group. This is a strategic hire for an expanding team, offering clear pathways for leadership and professional advancement within a high-growth practice. Key Qualifications • Experience: 3–4 years of sophisticated project finance experience (or a hybrid of project and acquisition finance) gained at a top-tier national or international law firm., • Technical Proficiency: Proven track record handling credit agreements, cash waterfalls, and security documentation. * Sector Expertise: Deep experience in the due diligence of large-scale renewable energy, conventional power, and infrastructure projects., • Execution Skills: Substantial experience managing the closing process for both project finance and leveraged finance transactions, including the preparation of bid and commitment papers. Preferred Skills • A balanced background in both lender and sponsor-side representation., • Direct experience with tax equity structures and financings for transportation infrastructure., • Familiarity with industry-standard enabling documentation, such as ISDA and EEI agreements. Why This Role? This position is designed for an ambitious attorney looking to step into a high-visibility role. You will work on market-leading transactions in the energy transition and infrastructure sectors while benefiting from the resources and platform of a Tier-1 global corporate practice. Apply now or email to discuss your search confidentially! Please, only qualified candidates should apply.

Artisan Council is a boutique digital marketing agency empowering progressive brands in the constantly evolving social and digital landscape. Our team believes in the power of stans and fans and aims to build brand loyalty through community involvement and engagement. AC believes that having an informed community of diverse voices is the key to making an impact in today’s ever-changing world of social media and content. AC’s team members are passionate about diversity, community, content, culture, innovation, and trying things first! We’re looking for people who share our passion, for people who live and breathe beauty, have exceptional research, communication, and creative thinking skills, and take an empathetic approach to everything they do and enjoy helping others succeed. The Junior Account Manager plays a key role in supporting client relationships and ensuring the smooth execution of social media and influencer marketing campaigns. You will help manage day-to-day account operations, coordinate internal teams, and contribute to strategic planning and reporting. This role is ideal for someone highly organized, detail-oriented, and eager to grow into a strategic client partner while building strong foundations in account management. Equal Opportunity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our mission is to create a happy, safe, considerate and inspiring work environment for all. What will you be responsible for? Client Management • Support Account Managers as a day-to-day point of contact for clients, helping to build strong, trusted relationships through proactive communication and follow-through., • Help prepare for and participate in weekly client status calls, campaign check-ins, and presentations., • Assist in translating client feedback into clear internal next steps across creative, influencer, paid, and strategy teams., • Ensure client needs, timelines, and deliverables are clearly communicated and tracked., • Help identify opportunities to enhance client programs and contribute ideas during planning and brainstorm sessions. Account Management • Help ensure all deliverables are accurate, complete, and delivered on time and within scope., • Track timelines, deliverables, and project status using tools such as Asana and shared project trackers., • Assist with budget tracking, expense management, and maintaining alignment with approved scopes of work., • Support the preparation of reports, campaign recaps, and performance summaries that highlight key insights and next steps., • Maintain organized documentation, including status reports, meeting notes, and client communications. Strategic Planning & Campaign Execution • Support Strategists and Account Managers in the development and execution of social media and influencer marketing campaigns., • Assist with research, including trend analysis, competitor audits, and platform best practices., • Help organize brainstorms and contribute ideas that align with client goals and brand voice., • Assist in developing client presentations, campaign decks, and reporting materials., • Support campaign execution to ensure programs are delivered efficiently and effectively. Internal Team Coordination • Help keep internal teams aligned on timelines, deliverables, and priorities., • Coordinate across cross-functional teams including strategists, designers, influencer specialists, paid media managers, and producers., • Assist with assigning tasks, tracking progress, and ensuring deadlines are met., • Maintain strong attention to detail across all aspects of campaign execution. Cross-Team Collaboration & Agency Contribution • Collaborate with Strategists, Account Managers, and Directors to share learnings and best practices., • Contribute to Artisan Council’s internal initiatives, including documenting campaign case studies and sharing results., • Support new business and growth initiatives as needed. What kind of skills should you have? Please note carefully. Applicants without this experience will not be considered. • 1–3 years of experience in account management, project management, social media, influencer marketing, or a client-facing role (agency experience preferred)., • Strong understanding of social media platforms including TikTok, Instagram, YouTube, and emerging channels., • Excellent organizational skills with strong attention to detail and ability to manage multiple projects simultaneously., • Strong communication skills—clear, professional, and collaborative across teams and clients., • Ability to prioritize tasks, manage timelines, and work in a fast-paced environment., • Strong analytical mindset with interest in interpreting performance data and campaign results., • Familiarity with social media analytics tools such as Sprout Social, Meta Insights, Google Analytics, or similar platforms is a plus., • Experience with project management tools such as Asana or similar systems is a plus., • Proficiency in Google Workspace (Docs, Sheets, Slides) and Microsoft Office., • Interest in beauty, social media, influencer marketing, and digital culture., • Self-motivated, proactive, and eager to learn and grow within account management.

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 130 countries. At Cint, we are committed to innovation and are rapidly expanding our portfolio of data solutions to power the next generation of insights. We are looking for passionate, results-oriented leaders to join us on this journey. Job Description The Role This is a strategic, high-impact opportunity to own and build the future of data at Cint. As the Principal Product Manager for Data Innovation, you will be responsible for defining and executing the product strategy for our emerging synthetic data and data collaboration products. This role requires a unique blend of deep technical understanding, commercial acumen, and a "build-from-scratch" entrepreneurial mindset. You will be the company's subject matter expert, partnering closely with R&D, data science, and commercial leadership to bring a new category of products to market. What You Will Do * Own the Product Vision: Develop and promote a multi-year product vision for Cint's Data Innovation portfolio. This includes synthetic data products and other new data collaboration solutions. You will be responsible for driving key business KPIs, such as product adoption, revenue, and market penetration. * Tell the Story: Masterfully articulate the "why" behind your product strategy. Bring complex customer and technical problems to life, inspiring and aligning senior leadership and the broader organization around your vision. * Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical trade-offs. • Partner to Win: Build strong, trusted relationships with key stakeholders across R&D, Data Science, Commercial, Legal, and Marketing to ensure cross-functional alignment and a successful go-to-market. Qualifications What We Are Looking For * Proven Product Leader: You have a proven track record of launching and scaling complex data products, platforms, or services from concept to market. * Customer-Obsessed: You are an expert in translating customer problems from the ResTech and data space into clear, well-structured product requirements, backed by data and qualitative insights. * Technical Data Expertise: You have direct experience managing the full lifecycle of AI/ML products: building, training, and fine-tuning models (e.g., LLMs). You have a solid understanding of the processes used to create, validate, and filter large-scale synthetic datasets and are comfortable discussing the trade-offs of alignment techniques (e.g., SFT, RLHF). • Exceptional Communicator: You possess outstanding written and verbal communication skills and are seen as an expert storyteller. You can effectively partner with senior leadership and are skilled at managing complex stakeholder maps. Why Join Us? * Strategic Impact: You will be building a new, high-growth business line that is central to Cint's long-term strategy. * Innovation: You will be on the cutting edge of ResTech and data technology, solving novel problems with a world-class R&D team. * Global Reach: Cint is a global company with a distributed, flexible, and collaborative culture. * Ownership: We empower our product leaders. You will have the autonomy and accountability to make a measurable impact on the business. Additional Information The anticipated pay range for this role is $175,000 to $218,000 annual base salary. In addition, this position is also eligible for the following benefits: • Medical, Dental, and Vision insurance options to suit you and your family’s needs, • 401K with company matching, • PTO, unlimited sick days, • Remote Work, • Paid maternity and paternity leave, • Annual bonus opportunity Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. () Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

Job Title: Equity Research Associate – Power Technology and Infrastructure Location: New York, NY Firm Overview: Cantor Fitzgerald, with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945. Cantor is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and its global distribution platform. Capitalizing on the firm’s financial acumen and technology prowess, Cantor’s portfolio of businesses also includes Prime Brokerage, Asset Management, and other businesses and ventures. Cantor operates trading desks in every major financial center globally, with offices in over 30 locations worldwide. As one of the few remaining private partnerships on Wall Street, Cantor has the distinct ability to focus on long-term value creation and strong relationship building. Our structure allows us to respond quickly to client needs, develop solutions to complex challenges, and attract talented individuals driven to succeed in a collaborative, entrepreneurial environment. Responsibilities: Cantor Fitzgerald is seeking a highly motivated Equity Research Associate to join its Industrials and Infrastructure research team in New York City. This role offers the opportunity to work closely with a senior analyst covering leading companies in the sector and to contribute meaningfully to research used by top institutional investors. The position provides strong exposure to company management teams, institutional clients, and internal partners in a fast-paced, intellectually demanding environment. Key responsibilities include: • Assisting in the preparation of comprehensive equity research reports on companies within the Industrials and Infrastructure sectors, • Building, maintaining, and updating detailed financial models, forecasts, and valuation analyses, • Conducting primary and secondary research, including channel checks, expert interviews, and broader industry analysis, • Participating in meetings and calls with company management teams and industry experts, • Collaborating with sales and trading professionals to communicate research insights to institutional clients, • Attending investor meetings and industry conferences to enhance sector knowledge and support relationship-building Qualifications: Educational Qualifications: • Strong academic background with demonstrated analytical and quantitative capabilities, • Experience or demonstrated ability in financial modeling, valuation techniques, and investment research, • High attention to detail with strong written and verbal communication skills, • Intellectual curiosity, persistence, and a proactive, self-starting mindset, • Ability to manage multiple projects and deadlines in a fast-paced environment, • Prior full-time experience in equity research, investment banking, or a related financial role, • CFA designation or active candidacy is a plus Salary: $120,000 – $130,000 The actual base salary will be determined on an individualized basis considering a wide range of factors, including but not limited to relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package (including health, vision, and dental insurance, paid time off, and a 401(k) retirement plan), this position may be eligible for additional compensation, including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.). We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited.

Job Title: Senior Analyst, Financial Planning & Analysis Location: New York, NY Employment Type: Full-Time | Exempt Reports To: Senior Manager, FP&A Overview A leading global media organization is seeking a highly motivated Senior Analyst to join its North America Financial Planning & Analysis team in New York. This role offers the opportunity to work within a dynamic and evolving industry, partnering with a collaborative finance team focused on delivering high-quality insights and strategic support. You’ll be part of a lean, high-impact team with exposure to senior leadership, providing a strong platform to deepen your expertise in financial analysis, forecasting, and business strategy. Key Responsibilities • Build and maintain financial models to support reporting, budgeting, and forecasting, including detailed revenue models and fully integrated financial statements, • Prepare monthly, quarterly, and annual forecasts and reporting packages, • Support the month-end close process in collaboration with the accounting team, • Analyze trends across revenue, cost of sales, operating expenses, and investments, • Assist in preparing strategic and financial presentations for senior leadership and corporate stakeholders, • Partner cross-functionally with teams such as Business Development, Business Affairs, and Digital to inform forecasting and strategic planning, • Contribute to the development of business review materials for executive leadership, • Create and maintain financial dashboards and reporting tools used across the organization, • Perform ad hoc analysis and develop models to support strategic initiatives Qualifications • 2+ years of experience in financial analysis or accounting, • Background in Big 4 (audit or transaction advisory), investment banking, or similar experience is a plus, • CPA designation is a plus, • Advanced proficiency in Microsoft Excel (Power Query experience preferred), • Familiarity with financial systems and tools such as Power BI, Business Central, SAP BPC, or OneStream is a plus, • Strong analytical, communication, and problem-solving skills

This is Sandeep from Cygnus Professionals Inc We are looking for BI & DATA ARCHITECT (ASSESSMENT + IMPLEMENTATION) Location: New York (Brooklyn preferred) / Client-Facing (at least 3 days onsite) Client: Strategy Stack/ E-commerce Retail Domain Duration: Until Mar 2029 Tentative Start Date: 4th May 2026 Role Summary We are seeking a BI & Data Architect to lead data, analytics, and BI transformation initiatives for retail and eCommerce clients. This role will lead BI tool assessments, define data and reporting strategy, design scalable architectures, and drive end-to-end implementations. Key Responsibilities Lead BI tool assessments across ETL, Data Warehouse, and BI tools Review current architecture and identify gaps Define evaluation criteria and scoring models Evaluate integration with Shopify, NetSuite, and POS systems Design end-to-end BI architecture (ETL, DWH, Semantic Layer, Reporting) Lead stakeholder workshops and KPI alignment Drive implementation of BI solutions Present recommendations to IT and business leadership Required Experience 10–15+ years in BI / Data Architecture / Data Engineering Experience in tool evaluation and platform selection Retail / eCommerce experience preferred Experience with Shopify, NetSuite, POS systems is a plus Technical Skills ETL / ELT tools (Alteryx, Informatica, Matillion, Fivetran) Data Warehouses (Snowflake, Redshift, BigQuery, Synapse) Data modeling (star schema, dimensional modeling) BI tools (MicroStrategy, Tableau, Power BI, etc.) Consulting & Communication Skills Strong problem-solving and analytical thinking Ability to translate business needs into technical solutions Client-facing communication skills Ability to present to senior leadership Success Criteria Deliver clear tool recommendations Design scalable architecture Drive business and IT alignment Enable smooth transition from assessment to implementation Why Join Us Lead BI transformation initiatives Work with CIOs and business leadership Be part of a high-growth consulting firm Build next-generation data and analytics solutions About Cygnus Professionals, Inc. Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients. Cygnus Belief We believe in our commitment to diversity & inclusion. Equal Employment Opportunity Statement Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have valid work authorization. For further information about CYGNUS, please visit our website

About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 22 sequential quarters of growth with $406.2M in Q2 FY26 revenue, up 4.2% Q-o-Q and 17.6% Y-o-Y growth. Our 26,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position: Role: Business Analyst Payment Domian • Location: Jersey City , NJ, • Experience: 8+ yrs, • Job Type: Full Time Employment, • Mandatory Mention 3 skills: Business Analysis, experience in payments, Complex EX systems What You'll Do: • Migration from Domestics WIRES, • Corresponding Banking Relationship, • Tokenized Deposit, • Vendor API for international Payments., • Blockchain (Nice to Have- one of the 2 BA Position, we would like to have one with TD), • Self-Starters. Expertise You'll Bring: • People with experience in payments., • Complex EX systems, • Payments Experience - Nuances of payments on the job., • I know MT, ISO - they specialize in some payment types, • Integrated Banking Building payments systems - with network, SWEIT, they have done migrations, • Building from scratch is easy, migration is a big challenge., • Will work in International Payments., • Have very good understanding and difference/ between FED, CHIPS Benefits: • Competitive salary and benefits package, • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications, • Opportunity to work with cutting-edge technologies, • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups, • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. • We support hybrid work and flexible hours to fit diverse lifestyles., • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities., • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers For more detail, please contact – Aditya Dakhane () “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Title: Microsoft Fabric Specialist Location: Whippany, NJ Role Summary: Support the design and implementation of a futurestate analytics platform to enable Microsoft Viva modules with a focus on Colleague Experience insights The role will design a scalable data estate using Microsoft Fabric Lakehouse to ingest and analyze data from Viva Glint Pulse Forms and Viva InsightsKey Responsibilities: Design the target data architecture using Microsoft Fabric OneLake Lakehouse Warehouse for Viva data sources Define ingestion and transformation patterns for data from Glint Pulse Forms and Viva Insights Build governed analyticsready datasets to support employee experience engagement and sentiment reporting Enable Power BI Fabric semantic models for insights and dashboards Ensure data security privacy and compliance for employee data Collaborate with HR Digital Workplace and IT teams to align analytics with Viva use cases Key Skills: Strong experience with Microsoft Fabric Azure Analytics Lakehouse Data Factory Power BI Solid understanding of HR colleague experience data and analytics Experience designing enterprise data platforms and futurestate architectures Knowledge of data governance and privacy considerations for employee data. The base compensation range for this role in the posted location is: $110,000 - $115,000/Yearly. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), • Life and disability insurance, • Employee assistance programs Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

About Buildots Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence. Fortune 500 contractors and owners trust Buildots, including Turner Construction, JE Dunn, Intel, STO Building Group and Mortenson. Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers. With over $160M raised and major expansion planned for 2026, this is a unique opportunity to join a fast-scaling company reshaping one of the world’s largest industries. About the Role This is your chance to take the lead in driving Buildots’ growth into untapped markets. As a New Logo Account Executive or Senior Account Executive, you’ll be the tip of the spear; identifying, engaging, and closing high-value opportunities in the construction industry. You won’t just sell a product—you’ll champion a transformative technology that’s redefining how projects are delivered. If you thrive on hunting new business, building trusted executive relationships, and turning conversations into long-term partnerships, this role gives you the platform, resources, and autonomy to make it happen. Key Responsibilities • Consistently achieve or exceed quarterly and annual sales quotas within targeted prospective accounts., • Drive outbound prospecting initiatives while nurturing and expanding existing relationships to 7-figure annual spend, • Take a consultative, partnership-driven approach—building trust, credibility, and long-term value with clients., • Strategically map accounts to identify growth opportunities and deliver measurable business impact., • Build, manage, and maintain a healthy, high-quality sales pipeline with accurate forecasting and reporting., • Develop deep, enduring customer relationships that foster loyalty and advocacy., • Proactively prioritize and follow through on customer needs to maximize mutual business outcomes. Experience & Skills We’re seeking a high-performing Account Executive or Senior Account Executive with a proven track record in B2B sales, ideally in the construction industry, who thrives in a fast-paced, growth-oriented environment. Preferred & Required Attributes • 5+ years of experience of closing complex B2B SaaS deals. (Preference: established relationships with construction executives and project teams in your region)., • True “hunter” mentality with a strong closing instinct., • Exceptional listening skills with a keen ability to understand and align with customer and stakeholder needs., • Proven ability to manage and influence complex deals involving 10–20+ stakeholders, • Uncompromising integrity, demonstrated through consistent and transparent actions., • Positive energy, resilience, and a great sense of humor., • Advanced stakeholder management and networking abilities across multiple levels of an organization., • Passion for construction and/or technology, with a belief in the transformative power of innovation in the industry., • Highly target-driven, persistent, and adaptable under pressure., • Confident in engaging with diverse stakeholders across various roles, countries, and cultures; whether in person, by phone, or via video. We offer competitive compensation along with a comprehensive benefits package designed to support you professionally and personally: • Health, dental & vision insurance, • 401(k) retirement plan with 4% employer match, • Paid time off (vacation and sick leave), • Stock-option grants (for eligible employees), • Hybrid working arrangement, • Employee Assistance Program (EAP), • Commuter benefits, • Pet insurance, • Voluntary life insurance, • Voluntary short-term & long-term disability coverage The base salary range for this role is $120,000 – $170,000 with a target OTE of $240,000-$340,000 OTE (Base + Commission). In addition, we also offer an equity package in the form of stock-option grants. *By submitting your application, you agree that Buildots will process your personal data in accordance with Buildots' Privacy Policy.

About: Karbone Research is now Noreva. Noreva is a rapidly growing energy analytics company building the next generation of intelligence for power, fuels, capacity, and environmental markets. We provide institutional-grade data, forecasting, and market insights that help utilities, developers, traders, investors, and industrial participants navigate increasingly interconnected energy and decarbonization markets. About the Role: As part of the continued expansion of our Research team, Noreva is hiring a Natural Gas Markets Analyst to support and advance our fuels research and analytics capabilities. We are looking for a market practitioner who combines a strong fundamental understanding of natural gas markets with the technical ability to build and enhance analytical tools and models. This role is highly entrepreneurial, featuring extensive interaction with clients and market participants and offering opportunities for team leadership. Responsibilities: • Build the Coverage: Develop and evolve Noreva’s natural gas market coverage by building fundamental models spanning supply-demand balances, storage dynamics, price drivers, and scenario analysis., • Decode Market Flows: Analyze regional basis dynamics, LNG exports, pipeline constraints, and power sector demand to understand what is driving the U.S. gas market day-to-day., • Deliver Actionable Insight: Produce recurring market reports, price outlooks, and thematic research that help investors and market participants navigate evolving gas markets., • Advise Sophisticated Clients: Partner directly with investors, developers, and traders on bespoke engagements including market sizing, asset-level analysis, diligence, and long-term market outlooks., • Help Build the Platform: Contribute to the growth of Noreva’s data platform through model automation, new datasets, and the development of next-generation research products., • Stay Ahead of the Market: Track regulatory, policy, infrastructure, and macro developments shaping natural gas and adjacent markets, including LNG, power, and renewables. Qualifications: • 2-5+ years of experience analyzing North American natural gas markets, including demonstrated understanding of supply, demand, storage dynamics, pipeline dynamics, and regional price formation, • Proven ability to translate market fundamentals into quantitative analysis or forecasting frameworks as well as qualitative research, • Advanced Excel skills and Python proficiency required, • Strong data intuition: experience working with large market datasets, time series data, or API-driven data pipelines is highly valued, • Comfortable operating in a fast-growing, build-oriented environment where processes and products are actively evolving What We Offer: • A collaborative, intellectually stimulating, and entrepreneurial culture, • Ownership over product buildout, the chance to make an impact immediately, and grow with the company, • Deep experience in the energy & commodities markets with unparalleled learning opportunities., • A competitive salary package, including comprehensive benefits, retirement savings plan, and bonus eligibility

Our elite global Alternative Investment Management client is seeking to recruit a Portfolio Management Associate to support the front-office investment team by performing capital structure analysis, complex financial modeling, industry research, data and risk driver analysis, dashboard/report development, portfolio management and capital raising support for a $6B+ AUM aviation/aircraft investment platform. Responsibilities: • Support the front-office investment team by performing capital structure analysis, complex financial modeling, industry research, data and risk driver analysis, dashboard/report development, portfolio management and capital raising support for a $6B+ AUM aviation/aircraft investment platform, • Leverage data, financial models and analytics to provide thought leadership insight to the investment team, • Support all facets of the portfolio, new deal due diligence and investment value realization, • Collaborate with key internal and external stakeholders to support asset management activities, • Maintain internal systems and develop analytical tools and automation, • Assist with strategic initiatives, investment return optimization and capital formation, • Attend and participate in industry events and board meetings Requirements: • Bachelor's Degree with strong academic record, • 2+ years of portfolio management, asset management or strategic finance experience, • Aviation finance or aircraft leasing experience required, • Demonstrated capital structure analysis and advanced financial modeling skills required, • Strong data and risk analytics knowledge, • Advanced Excel skills with the demonstrated ability to analyze complex datasets, create dashboards and build analytical tools, • Advanced PowerPoint skills, • Power BI, Tableau or other business intelligence tools a strong plus, • Ability to synthesize and disseminate complex data into actionable recommendations and communicate insights with key stakeholders, • Advanced communication, interpersonal and business writing skills

Business Overview KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at . Position Summary Who you are: A passionate and driven search professional, you excel at translating the digital strategy set at the senior level into daily tactical execution. You’re ready to challenge the status quo to produce world-class search campaigns for high profile brands and take pride in your ability to clearly articulate the outcomes of the tactics and the strategy to the client as the day-to-day client lead. You thrive in a multi-functional role and enjoy training and coaching team members to ensure flawless tactical execution. Responsibilities · Work with search director to develop campaign strategies and is responsible for the execution of search campaigns against the strategy · Lead virtual and in-person presentations in a polished, energetic way, displaying story-telling elements throughout · Display basic management skills, including understanding of setting expectations, ability to train others, delegate tasks and provide feedback · Liaison between search and all other digital channels to help contribute towards a multi-channel approach/strategy · Oversee and manages client reports and analysis · Work with Search Lead to develop campaign strategies and is responsible for the execution of search campaigns against the strategy · Responsible for majority of day-to-day client communications regarding insights, reporting, and optimization recommendation. Assists in the development of POVs · Display management skills, including understanding of setting expectations, ability to train others, delegate tasks and provide feedback Required Skills & Experience · Experience with within an agency environment required · Substantial experience in paid search · Substantial experience in Google, Bing, and other search partners · Substantial experience on at least one bidding platform such as Marin, Kenshoo or SA360 · Substantial experience with Microsoft Excel, Word, and PowerPoint is required Desired Skills & Experience · Spanish proficiency is a plus · Ability to multitask and handle other duties as assigned · Excellent writing skills with an attention to detail · Have basic story-telling ability as well as ability to lead virtual and in-person presentations Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this 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 job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please email .

FIELD SALES AND MARKETING REPRESENTATIVE – Techtronic Industries, NA (TTI) About Us: TTI (Techtronic Industries) is a fast-paced, high energy, organization that rewards out-of-the-box thinking to foster innovation allowing us to be the best in our industry. We provide a multi-faceted training program and hands-on field experience that will stimulate, challenge, and reward you. TTI is a world-class leader in design, manufacturing and marketing of power tools and accessories, outdoor product equipment, and floor care products. Our consumers range from professional and industrial users in the home improvement, repair, and construction industries to homeowners & DIY enthusiasts. Our unrelenting strategic focus on powerful brands, innovative products, operational excellence, and exceptional people drives our culture. This focus and drive provides TTI with a powerful platform for sustainable leadership and strong growth. Our brands and products are recognized worldwide for their deep heritage, superior quality, outstanding performance, and compelling innovation. Our products include professional power tools and accessories, outdoor power equipment, and floor care. Our brands include Milwaukee®, AEG®, Ryobi®, Hart ®, Oreck®, Hoover®, Dirt Devil® and Vax®. In this position, you will drive sales of our premier product lines within one of our largest retail partners. This position will allow you to enhance your selling, account management, and communication skills while launching your career in a fast-paced and extremely rewarding company. Duties and Responsibilities: • Exceed sales targets by delivering best-in-class Business to Consumer sales and customer service within The Home Depot, engaging directly with customers to understand their needs and recommend tailored TTI product solutions, all while demonstrating deep product knowledge and enthusiasm, • Plan and execute promotional events, product demos, and store walks to drive consumer engagement and increase product sell-through, • Support and implement strategic corporate brand marketing initiatives and promotional activities to increase brand awareness and drive sell-through, • Ensure brand presence and sales-readiness through strategic merchandising, optimal product placement, and completion of store objectives and resets—leveraging data analytics through Microsoft Power BI to drive decisions and maximize impact, • Develop a strong understanding of the retail marketplace, including customer profiles, product applications, competitive landscape, and channel dynamics, • Participate in TTI’s world class training program to be equipped with the knowledge to work independently within your assigned market, • Build and manage relationships with The Home Depot team members to enhance in-store execution and cultivate long-term business partnerships, • Effectively manage inventory levels through down-stocking, maintaining product accessibility, and ensure prompt reporting of all tasks and responsibilities, • Participate in merchandising resets to support TTI’s relentless innovation, ensuring the timely placement of cutting-edge products and solutions that drive growth, competitive advantage, and meet evolving market needs, all while adhering to TTI’s safety protocols Note: Employee's duties and responsibilities are not limited by the above. Other duties may be assigned as deemed necessary by the employee's supervisor. In addition to the basic requirements of the position, all employees are expected to meet the company's goals of continual improvement in the areas of knowledge, skills, processes, and quality. Job / Employment Requirements: • Must be at least 21 years of age or older, • Eligible to work in the United States without sponsorship or restrictions, • Ability to pass drug screening and Motor Vehicle Report screening, • Must have a valid United States driver’s license for at least one continuous full year in one state, • Must have a personal vehicle / reliable form of transportation, • Possess and maintain valid personal vehicle insurance listing you as the primary driver, • Position requires travel to/ from assigned store location(s) as well as occasional travel for meetings, projects, events, etc. Air travel will be required, • Employees will also be required to transport a small amount of company property (company devices, demo tools, tool kit, safety supplies), • Capable of reaching and/or lifting overhead in addition to ascending/descending ladders to move product, • Capable of lifting and transporting heavy tools (up to 50 lbs.) and requesting assistance as needed, • Capable of using hands to maneuver small objects, assemble tools and build displays, • Ability to work nights and weekends – weekends will be required at different points throughout the year, • Ability to work in a retail environment full time and stand for the duration of the shift, with the exception of meal and rest breaks, • Applicant should be self-motivated and a team player with strong organizational, planning and time management skills, • The applicant must be MS Office proficient, • Formal higher education preferred but not required – Equivalent experience will be considered, • Relocation may be required for future promotional opportunities, • Bi-Lingual preferred, at a minimum, transactional understanding / basic communication ability required in Spanish. Compensation and Benefits: • Salary Non-Exempt Position (Overtime Eligible), • The pay range for this position is $24.04 and $25.96/hour equating to a Target Annual Salary of $50,000 - $54,000, • Sales Contests and Incentives to Earn Additional Income (In Correlation with Business Needs / Focuses), • Vehicle Allowance of $400/month equating to a target of $4800/year (pre-taxed) dispersed evenly across the 52 weeks in a year, • Company iPhone and iPad, • Medical, Vision, and Dental Benefits Available, • Insurance Coverages Available such as Short-Term Disability, Long Term Disability, Basic Life Insurance, Basic AD&D, and more, • 401K (Company Matches 50% up to 8% of Employee’s Salary), • Eligible for up to 10 Paid Holidays (Based on hire date), • Accrue up to 104 hours of PTO – 1st Year – Based on hire date, • Relocation assistance if moving for the position based on needs of the business, • Employee Referral Bonus Program and other incentive initiatives Job Postings are available for at least 48 hours from the posting date. TTI accepts ongoing applications as various positions are available nationwide. Locations available Nationwide. To learn more about TTI, visit our website at .

Job Title:Data Governance Engineer - Strategy & Data Architecture - Fabric / Cribl Location: Berkeley Heights, NJ-Duration: Direct Hire-Pay:$140,000 - $150,000 + Benefits - NO Travel CBTS is currently searching for a Data Governance Engineer for our Cybersecurity/Security Operations Governance team. You will have platform ownership and architectural responsibility using “Cribl” for collecting, filtering enriching and routing machine and telemetry data that is either retained or forwarded for Microsoft’s modern data stack- “Microsoft Fabric.” You will serve as a key individual contributor responsible for building the technical foundation of a formal cyber data governance framework. You will work closely with cyber security, security operations center (SOC), compliance, analytics and platform engineering teams to translate governance policies into implementable metadata, taxonomy, lineage and lifecycle capabilities. Your work will enable teams to reliably discover, trust and use security data to manage risk and drive informed decisions. Responsibilities: • Implement the technical components of a formal data governance framework, including metadata schemas, policy-to-code patterns and architecture blueprints for cyber data., • Run domain discovery workshops to define priority cyber data domains, data owners and critical data elements (CDEs), and capture resulting artifacts in the metadata catalog., • Inventory and rationalize security reports and dashboards, mapping each dashboard to source datasets, accountable owners and key performance indicators (KPIs)., • Enable analytics pilots by designing and delivering curated, well-documented datasets for security and compliance analyst consumption., • Integrate and automate metadata harvesting from Google BigQuery into a metadata catalog, and onboard Talend, Axonius and Bindplane as governed telemetry and asset sources., • Define canonical taxonomies and dataset contracts for core cyber concepts such as “asset,” “identity,” “event” and “alert” to drive consistency across platforms., • Provide end-to-end lineage and provenance for analytics artifacts and model features to support model operationalization and governance requirements., • Support self-service business intelligence (BI) adoption by publishing dataset contracts, access patterns and technical documentation for Power BI and Looker. Requirements: • 6+ years of experience in data architecture, metadata and lineage engineering or data engineering, including implementing governance solutions for security or telemetry data using cloud data platforms., • 4+ years of experience designing and implementing solutions on Google Cloud Platform, including Google BigQuery and Google Cloud data and security products such as Data Catalog, Identity and Access Management (IAM), Cloud Data Loss Prevention (Cloud DLP) and Security Command Center, Cribl for Data Fabric, • 4+ years of experience integrating and managing data pipelines using Talend or similar integration tools, including onboard telemetry and asset sources such as Axonius and Bindplane into governed data environments., • 4+ years of experience in data modeling and SQL, including building and maintaining lineage and automated metadata harvesting solutions across complex data ecosystems., • 3+ years of experience inventorying and rationalizing reports and dashboards, mapping KPIs to source data and standardizing reporting across business or security domains., • Demonstrated ability to communicate complex data governance and architecture concepts clearly and effectively with cyber security, analytics and platform stakeholders, including leading working sessions and producing actionable documentation., • Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, Cybersecurity, Data Analytics or Data Fabric w/ Cribl, or equivalent combination of education, related experience and/or military experience. PLUS Skills: • Experience working in cybersecurity domains and/or within financial services or other highly regulated industries., • Professional certifications such as Google Cloud Platform (e.g., Professional Data Engineer, Professional Cloud Architect) or Certified Data Management Professional (CDMP), or equivalent certifications., • Experience supporting Power BI and Looker consumption patterns, including semantic modeling, dataset governance and role-based access for self-service analytics., • Experience supporting machine learning model operationalization, including feature store governance, model input lineage and monitoring of governed model outputs. CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.

Hybrid Onsite 5 days/week, alternating weeks in either Manchester, NH, Irving, TX, or New York, NY. The Senior Software Engineer will develop, test, deliver, and support workflow-driven features that power client interactions on a platform. The role will collaborate with technical leads and product managers to translate complex business processes into robust, maintainable code using languages such as Python and JavaScript. The position requires strong analytical and problem-solving skills, ownership of automation and testing, and disciplined use of source control and CI/CD. The team operates like a startup within a larger organization to build and scale new fintech products. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $70.00 to $80.00/hr. w2 Responsibilities • Design, implement, test, and support workflow logic that drives client interactions on the private shares platform., • Collaborate with technical leads and product managers to refine requirements and inform product direction., • Build, deploy, and support production web applications using languages such as Python and JavaScript., • Apply automation and testing strategies to ensure code robustness and reliability., • Use source control and CI/CD tools and practices to maintain high-quality delivery., • Research and prototype growth opportunities and new technologies to extend the platform., • Collaborate closely with teammates, share knowledge, and contribute to engineering excellence. Experience Requirements • Proven experience building, deploying, and supporting production web applications with Python and/or JavaScript., • Strong analytical and problem-solving skills to understand complex customer needs and transactions., • Hands-on experience with source code management and CI/CD pipelines using tools such as GitHub and Jenkins., • Demonstrated ownership of automation and testing to ensure code quality., • Ability to learn new technologies and patterns and adapt to changing requirements., • Collaborative mindset with a passion for engineering excellence. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . Job ID: JN -032026-106152

Implementation Manager | HVAC / Engineering New York City | Onsite $120K-$150K Base + Equity + Benefits Shields Group Search is partnering with a fast-growing construction-tech startup building the next-generation operating system for commercial HVAC, Electrical, and Plumbing suppliers and subcontractors. Their V1 quoting product has already scaled to 500+ quotes per day, and they’ve doubled annual recurring revenue in the first six weeks of 2026. Fresh off a $14M Series A backed by top construction-tech investors, they’re entering their next phase of growth and expanding their Client Success team. This is an opportunity to join early and help shape the client experience at a company transforming a $250B industry with AI-native software. Their first product is live and scaling quickly, and they are looking for an Implementation Manager to own onboarding, training, and early-stage customer success while helping build the playbook that will power the company’s long-term CS motion. You’ll work closely with Client Success, Product, and Sales, as well as leadership, to support clients, improve internal systems, and ensure a best-in-class implementation experience. What You’ll Do • Own in-person onboardings, including kickoff sessions, virtual demos, and hands-on trainings, • Build repeatable processes across onboarding and implementation, including playbooks, materials, metrics, and tracking, • Serve as the voice of the customer by gathering feedback on-site and bringing insights directly back to leadership, • Troubleshoot in real time, clearing adoption blockers and keeping implementations on track, • Collaborate with leadership, Sales, and Engineering to surface insights, champion the client perspective, and influence the product roadmap, • Help maintain the client management section of the CRM and ticketing/messaging systems, supporting inbound questions via email, live messaging, video calls, and tickets with fast, accurate, and tactical responses, • Create and maintain internal and client-facing documentation, including workflows, FAQs, and best practices grounded in real construction and HVAC use cases, • 3+ years in a technical or operational role within the commercial HVAC / mechanical industry, such as Estimating, Project Management, or MEP Design, • HVAC industry familiarity is required, • Strong project management skills with the ability to build processes from scratch and execute against deadlines, • Excellent communication skills and the ability to simplify technical concepts for a wide range of audiences, • Experience creating training content across videos, documentation, or workshops, • Proven track record of leading in-person rollouts and trainings What Success Looks Like First 2 Weeks • Develop foundational knowledge of the product, platform, and core workflows, • Shadow client calls and participate in on-site kickoffs to understand the implementation approach, • Independently manage day-to-day digital client communications and resolve common support questions, • Lead new client onboarding engagements, owning the full implementation lifecycle from Sales handoff through on-site kickoff, • Partner cross-functionally to drive client growth, engagement, and long-term adoption, • Act as a trusted client resource for product best practices and implementation guidance Compensation & Benefits • Salary: $120K-$150K base, depending on experience, • Equity: meaningful grant aligned with your background, • Benefits: medical, dental, vision, • Perks: free lunches and dinners This is a full-time, onsite role based in NYC’s Flatiron District, steps from Madison Square Park and Union Square.

Our Client: Global Investment Bank is seeking : Sr. AI, Data Science, Quant Developer Analyst Location: Midtown, New York, NY for Onsite: 4 days onsite / 1 day remote work schedule Level: Senior """ must be local to New York Metro area and have Invetment Management experience""" Job Description Our Client: Global Investment Bank is seeking a Client Facing Data Science & Analytics - AI Developer to lead analytical and AI work in client-facing engagements and internal strategic initiatives. Seeking strong quantitative professional who can manage stakeholder cycles, shape problem statements, and drive workstreams from scoping through delivery. With focus on client-facing work, while also contributing to the firm’s internal AI and analytics building; combine quantitative rigor with commercial judgment and strong stakeholder management Firm is building a more mature data science and AI capability to support client delivery, differentiated insight generation, and scalable internal tools. Responsibilities: will play a key role in translating business questions into analytical solutions, leading execution against those solutions, and ensuring outputs are practical, defensible, and decision useful. As a Data Science & Analytics, you will work bankers, senior business stakeholders, data science, engineering, and business analysis teams. Operate independently, manage multiple workstreams, and help set the standard for how analytical products are scoped, built, communicated, and scaled. Lead analytical workstreams tied to client-facing opportunities and strategic internal priorities • Translate business needs into structured analyses, models, and workflows, • Manage stakeholder engagement, delivery cadence, and quality control across project cycles, • Help convert bespoke analytical work into repeatable internal capabilities where appropriate, • Lead analytical workstreams that support client engagements, strategic analyses, sector intelligence, and banker decision-making, • Partner with bankers and senior stakeholders to define analytical objectives, scope work, prioritize use cases, and align on delivery plans, • Translate business problems into data requirements, methodological approaches, and actionable workstreams, • Present findings, tradeoffs, recommendations, and implications clearly to both technical and non-technical audiences, • Design and oversee statistical, machine learning ( ML ), NLP, forecasting, optimization, and other analytical approaches suited to the business problem, • Remain hands-on where needed in data extraction, data preparation, model development, testing, and interpretation, • Review work produced by junior team members for technical rigor, logic, clarity, and usability, • Build and improve analytical frameworks, reusable code assets, and scalable processes that raise team efficiency and quality, • Contribute to the firm’s internal AI and analytics platform by helping identify reusable patterns from client-facing work, • Shape AI-enabled workflows and use cases tied to insight generation, knowledge retrieval, summarization, classification, and productivity, • Collaborate with AI, product, and technology teams to move from proof-of-concept to production-aligned solutions, • Help define where machine learning, statistical modeling, and LLM-based approaches are most appropriate and where they are not, • Own end-to-end workstream management across discovery, analysis, validation, communication, and follow-through, • Set clear project cadences, milestones, dependencies, and decision points for stakeholders, • Support sound practices around documentation, testing, model transparency, data lineage, controls, and issue management, • Help define KPIs and success metrics for analytics and AI use cases, including business impact, adoption, efficiency gains, and model quality, • Ensure deliverables meet internal quality, compliance, and governance expectations, • Mentor Analysts and junior team members, helping improve technical quality, business framing, and communication, • Foster strong partnership across bankers, business analysts, engineers, and business stakeholders, • Contribute to operating discipline, prioritization, and best practices across the broader analytics and AI function, • Help build a culture that values rigor, practicality, speed, and measurable business impact Education • 5 – 8 years of experience in data science, analytics, quantitative consulting, financial services, • Experience in investment banking, capital markets, financial services, consulting, or other high-performance client environments, • experience managing analytical projects or workstreams from problem framing through delivery, • Experience engaging directly with senior stakeholders or clients, • Strong quantitative and analytical problem-solving capabilities, • Ability to structure ambiguous business questions into clear analytical plans and executable workstreams, • Strong communication and stakeholder management skills, including the ability to influence across senior audiences, • Ability to balance technical rigor with commercial relevance and delivery practicality, • Strong experience with Python and SQL required, • Strong grounding in statistics, machine learning, experimentation, data interpretation, and model evaluation, • Experience working with structured and unstructured data at scale, • Familiarity with modern AI tooling, LLMs, prompt engineering, retrieval-based workflows, and applied AI use cases, • Experience with data visualization and storytelling tools such as Power BI or Tableau preferred, • Familiarity with software delivery concepts, version control, and production-oriented analytical development practices preferred, • Exposure to cloud, data engineering, or model deployment workflows is a plus we are seeking: • Commercially minded and execution-oriented, • Comfortable leading workstreams in a fast-paced, high-accountability environment, • Strong judgment, maturity, and client-service orientation, • Able to coach junior talent while remaining hands-on when needed

Sr. Distinguished Applied Researcher Overview: 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. Team Description: 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 I (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 II (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 II Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished Applied Researcher Overview: 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. Team Description: 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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $278,400 - $317,700 for Distinguished Applied Researcher Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 I (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).