Software implementation jobs in Hoboken, New JerseyCreate job alerts

Director, Credit Risk, Liberty Street, New York, NY Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Director, Credit Risk leads the design, implementation, and oversight of risk strategies and governance frameworks for Santander’s consumer lending portfolios. This role is accountable for ensuring credit policy, model governance, and decisioning strategies are effectively aligned with risk appetite and business objectives. The Director partners with teams across Credit Risk, Data Science, Product, and Technology to ensure analytical insights translate into sound portfolio management, profitability, and regulatory compliance. General Responsibilities • Provide strategic leadership in the design and execution of credit risk management frameworks, policies, and decision strategies., • Lead portfolio performance assessment and ensure alignment with risk appetite and business strategy., • Oversee risk analytics, model performance monitoring, and governance of key risk indicators., • Direct the development and enhancement of credit decision engines and automation capabilities in partnership with technology teams., • Engage with executive stakeholders to communicate portfolio trends, risk exposures, and mitigation actions., • Partner with compliance and audit functions to ensure adherence to regulatory standards and internal controls. Implementation Oversight & Governance • The Director oversees the translation of business and risk strategies into operational decision systems and ensures governance of all implementation activities across the credit risk function. This includes leading teams that manage the deployment, testing, and validation of decision engine logic, ensuring the precision, integrity, and compliance of automated decision processes. Strategy Implementation • Oversee the design and translation of business and credit strategies into decision engine configurations and rules logic., • Ensure strategic intent is accurately represented in decision platforms through strong collaboration with Credit Policy, Model Development, Analytics, and Technology teams., • Direct governance reviews of proposed strategy changes to ensure consistency, control, and alignment with Santander’s risk appetite. Testing & Validation • Establish frameworks for testing and validating decision logic, models, and strategy deployments., • Oversee quality assurance processes to verify that system outputs align with approved credit policies and risk frameworks., • Drive post-implementation reviews and ensure corrective actions are identified and executed in a timely manner. Performance Monitoring • Lead ongoing monitoring of decision engine performance, including automation rates, approval trends, and error detection., • Partner with analytics and reporting teams to assess the business impact of strategy adjustments and model-driven decisions., • Use insights from performance tracking to inform continuous improvement and portfolio optimization initiatives. Cross-Functional Collaboration • Coordinate across Risk, Technology, Operations, and Product teams to ensure cohesive delivery of credit risk strategies and system updates., • Lead discussions on platform enhancements and new capabilities to support evolving risk and business needs., • Represent Credit Risk in governance forums, audits, and model validation reviews, ensuring transparent documentation and communication of implementation decisions. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Bachelor's Degree in Business, Finance, Computer Science, Engineering, or related field. - Required., • Master's Degree in Business, Finance, Computer Science, Engineering, or related field. - Preferred., • 12+ Years Risk Management, Credit Risk or Internal Audit experience. - Required., • 12+ Years Financial Industry experience. - Required., • 12+ Years Consulting - Preferred., • 3+ Years Experience in software testing or quality assurance roles. Required, • Experience with decision engines such as FICO , Experian PowerCurve, or Provenir., • Advanced understanding of consumer credit risk, models, lending policies, and/or financial products., • Extensive experience working in a financial institution or fintech environment., • Strong analytical and problem-solving skills with attention to detail., • Strong Proficiency in Excel; familiarity with SQL, Python, or other analytics tools is a plus., • Ability to independently operate in a complex, matrixed environment; adept at delivering and maintaining productive working relationships across business, functions, geographies and lines of defense., • Strong risk management principles, methodologies and tools, governance principles and activity preferably in a financial services technology environment., • Ability to direct, train and guide peers, subordinates and management., • Ability to strategically generate well supported conclusions based on trend analysis, credit risk due diligence performed, understanding of the Banks risk appetite and assessment of managements capabilities., • Ability to effectively interact and communicate with senior management across the enterprise., • Excellent written and verbal communication skills. Preferred Skills: • Exposure to agile delivery environments and product/strategy deployment cycles., • Understanding of model-driven decisioning and A/B testing frameworks. Certifications: • No Certifications listed for this job. It Would Be Nice For You To Have: • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education., • Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $135,000.00 USD Maximum: $240,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Bank N.A.

JOB DESCRIPTION Job Summary Designs and builds company specific enterprise application systems and technology expertise across multiple disciplines. Applies and promotes key principles (e.g., stability, scalability, performance, security, compatibility, re-use), helping ensure a balance between tactical and strategic technology solutions. Considers business problems “end-to-end”: including people, process, and technology, both within and outside the enterprise, as part of any design solution. Promotes use of industry and enterprise technology standards. Monitors emerging technologies for potential application within or across the Corporation. Adheres to design and application development standards, methodology and, framework within Architectural compliance and governance. KNOWLEDGE/SKILLS/ABILITIES • Experience with Edifecs/JavaScript/SQL, • Develops software (hands on code development) to meet key business objectives., • Practices and leads SW and applications development methodologies in adherence to SW development standards., • Designs and develops SW applications or systems solving specific business or processing problem (Web or Mobile)., • Gathers business requirements and develops conceptual design and technical design for multiple projects concurrently., • Reviews computer system capabilities, work flow and scheduling limitations to determine if requested program or program change is possible within existing system., • Conducts peer review of other developers (internal and contract staff) to ensure standards and quality., • Responsible for quality deliveries for self and application engineers. Participates in build vs. buy evaluation process., • Leads architecture and design discussions in adherence to SW development standards., • Provides design and architectural expertise on application systems / technologies, to both technical teams and business partners., • Responsible to support the application system / service owner for system performance, budgeting, and planning., • Responsible for application system stability and scalability related activities., • Responsible for alignment with project methodologies and change management processes., • Responsible to organize, manage and lead cross-team project tasks and deliverables., • Responsible for designing and building enterprise level application systems., • Responsible for presentations and solutions submitted to technical peer review committees., • Ownership to provide cross-organization teamwork, collaboration, communication, and leadership. Required Education Bachelor's Degree in relevant field Required Experience • 3+ years of hands-on technical implementation experience in mid to large IT Enterprise environments., • 5-6 years of IT technical experience with IT enterprise infrastructure., • Industry certifications preferred., • Experience with Edifecs/JavaScript/SQL To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. #PJCorp #LI-AC1 #HTF Pay Range: $107,028 - $250,446 / ANNUAL *Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Model Validator Model Validations Team, Insurance, Product & Model Risk Full Time Springfield, MA, Boston, MA or New York, NY The Opportunity As a member of the Enterprise Risk Management (ERM) organization at MassMutual, you will partner with various business areas to conduct independent model validations for a wide variety of models, integral to critical business decision making, product pricing, financial reporting, risk mitigation activities and business processes. The Team The Model Validations team is comprised of seasoned professionals with expertise in actuarial, financial, risk, investment and capital markets models, who are also building knowledge in emerging areas of importance, such as data science, machine learning and artificial intelligence. The team conducts independent validations on a wide variety of models to ensure the company’s models are conceptually sound and performing as expected. The Impact You will utilize your actuarial, investment, and capital risk modeling expertise to conduct best-practice model validation activities, helping protect the company’s reputation and financial stability through robust management of risks associated with the use of these models. If you are someone that has a passion for complexity, continuous improvement, learning and curiosity about different points of view, this may be the right role for you. Specific expectations from this role: * Build relationships, influence, collaborate and learn various aspects of our business from many modelers, data-scientists, actuaries and business leaders at MassMutual. * As a risk advisor, participate in the design, development and implementation of new models * Conduct model validations in accordance with corporate model governance policy requirements and timelines, leveraging deep modeling, asset pricing, actuarial and regulatory expertise. * Assess model design, theoretical construction, methodology, applicability, and resilience within evolving economic and risk environments, in accordance with corporate, actuarial and/or regulatory standards. * Validate accuracy of model calculations, algorithms, and any embedded automation / programming code base. * Design and implement tests to ensure model performance and model output are as expected. * Prepare and distribute model validation documentation, which meets model governance requirements. * Test remediation of validation findings. * Continuously research and provide guidance on the use of new and innovative analytical techniques. The Minimum Qualifications * Bachelor’s degree in Actuarial Science, Finance, Econometrics, Statistics, Mathematics, Physics, or another quantitative discipline * 5+ years of direct experience in one of the following: * Capital markets and/ or investment risk * Quantitative asset pricing models * Liability hedging strategies * Statistical methods of analysis * 3+ Microsoft Excel, Access, and VBA * 3+ experience with Python The Ideal Qualifications * Possess one or more of the following designations * Associate of Society of Actuaries (ASA) * Fellow of Society of Actuaries (FSA) * Charter Financial Analyst (CFA) * Certificate in Quantitative Finance (CQF) * Financial Risk Manager (FRM) * 7+ years of direct experience in one of the following: * Capital markets and investment risk * Quantitative asset pricing models * Insurance liability hedging strategies * Statistical methods of analysis * ALM and annuity product pricing experience * Knowledge of commercial software, including Prophet, GGY AXIS and Moody's asset models * Strong statistical, risk, analytical, modeling, and problem-solving skills * Ability to see the big picture with meticulous attention to detail * Strong communication and collaboration skills, both written and verbal * Demonstrated accountability and ownership of self-development * Ability to build and maintain strong working relationships within and across teams, while challenging in a constructive manner * Strong execution and time management skills What to Expect as Part of MassMutual and the Team * Regular meetings with the Model Validations Team * Focused one-on-one meetings with your manager * Access to mentorship opportunities * Networking opportunities including the Actuarial Gathering, access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Position Summary: MassMutual’s Data Science team is seeking an exceptional, highly motivated and self-directed AI Engineer. In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge AI methods and technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, APIs and other at scale AI applications. This is an opportunity to join a cross-functional team with diverse backgrounds in applied math, statistics, computer science and physics that have been tasked with developing, maintaining and extracting knowledge and insights from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large. Overall Responsibility: * Lead ML/AI solutions leveraging mathematics, statistics, LLM and other quantitative tools from initial conception to implementation. * Deploy Generative AI/LLM models at scale to achieve business objectives * Evaluate, implement and advise on best practices in AI development * Influence team strategies through innovation and research. * Collaborate with data and software engineers to enable deployment of AI solutions at a large scale. * Develop efficient and scalable Python/R/SQL code and backend API Create prototype AI systems, visualizations, and web applications * Partner with senior leadership to ensure alignment of data science initiatives and company strategy * Lead projects and research initiatives * Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations * Mentor junior team members Candidate Requirements: * Industry recognized expertise * 7+ years working with data and relevant computational frameworks and systems * 7+ years applying math, stats, probabilistic models and machine learning algorithms to solve complex problems * Proficient in efficient Python coding (OOP, pandas, scikit-learn, pyspark, etc.), and R is a plus * Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies * Knowledge of prototyping web application and able to work closely with software engineers * Experience in database design and SQL * Familiar with the following areas: machine learning, probability and statistics, natural language processing, operation research, deep learning, GenAI/large language models, and AI agents * Experience with AI solution development and deployment using various framework and platforms. * Ability to work in a highly collaborative environment * Outstanding communication skills * Experience in Investments and/or Wealth Management is preferred Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required #LI-MC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: • Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security., • Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment., • Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform., • Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes., • Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability., • Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule., • Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake)., • Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts., • Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions., • Participate in roadmap planning and contribute to long-term data platform strategy and technology selection., • Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications • Bachelor’s in Computer Science, Engineering or related technical field, • 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services, • 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design, • 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment, • 2+ years experience in Python, SQL, and automation scripting, • 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications • Master’s degree in Computer Science, Engineering or related field, • AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer)., • Knowledge of streaming data technologies (e.g., Kinesis, Kafka), • Exposure to data lake and data warehouse architectures, • Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus), • Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow), • Demonstrated experience working with global delivery teams and cross-functional stakeholders, • Strong communication skills with a proven ability to work across functional teams, • Experience with data lake architecture, data governance frameworks, and modern metadata management, • Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments, • Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas), • Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA), • Exceptional communication and interpersonal skills, • Ability to influence and motivate teams without direct authority, • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

The Opportunity As a Financial Planning Strategy Consultant you will bridge the gap between the Financial Planning Strategy and the development of sales tools features. in this role you will instruct stakeholders on how to practically apply advice and sales tools changes into their client engagement model, helping shape the client experience to grow Financial Planning. The Team You will join our Wealth Management Financial Planning team, which is a team that is advisor focused and consultative. Communication and collaboration to build and maintain strong relationships with our field partners is at the core of who we are. The Impact The Financial Planning Strategy Consultant is the subject matter expert in applying new digital enhancements (on platforms such as eMoney, RightCapital and MoneyGuide) for Financial Planning client engagement to the WM Financial Planning Organization, Advisors, their staff and firm support roles. Liaison with WM Financial planning leaders and new technology workflows and enhancements including identifying key field and operations impacts and providing support to create and deliver associated training, marketing and communications to drive adoption and implementation. Key Responsibilities Include: * Performs work across multiple initiatives and processes, supporting or leading business initiatives. * Serves as a subject matter expert in financial planning and on business requirements, you will interface and collaborate with multiple business organizations and technology professionals * Work as the subject matter expert and business process owner to develop workflow, process and documentation to operationalize Financial Planning digital advisor and client capabilities * Leads the product functional design process based on an intimate knowledge of the users and financial planning engagement model * Manage and accountable for implementation of assigned business initiatives, from concept approval through delivery * Proactively researches and applies best practices in terms of solution design and recommendation taking business capabilities, cost, speed to market, innovation and other critical objectives into account * Analyzes current market trends to better understand how other companies/competitors use tools for client engagement and advisor experience to ensure MassMutual stays ahead of its competitors * Getting and applying feedback to Identify areas of improvement when engaging sales tools vendors * Planning and leading product releases and setting expectations for delivery * Ensures current sales tools platforms and features are aligned to Financial Planning Services Policy and regulation changes * Support WM Financial Planning management after initial strategy delivery to monitor and, collaborate with stakeholders and business partners to identify and successfully resolve issues and improvement to opportunities and communicate resolution * Partner with business sponsors and stakeholders to set objectives and goals; prioritize multiple activities and projects, and understand the company strategic objectives * Leverage expertise to lead problem resolution as issues arise with platforms and tools * Accountable for effectively leading and executing assigned business management responsibilities in the areas of advisor outreach, financial planning sales enablement to maximize WM Financial Planning resources, regulatory changes and general business updates, and changes and enhancements specific to the financial planning client experience The Minimum Qualifications * Bachelor's degree * 6+ years experience in the Financial Services industry * 3+ years' experience in financial planning or management of a financial planning sales tool * 5+ years’ experience managing development and delivery of business solutions * 3+ years’ experience presenting and influencing leadership and key stakeholders * Due to the nature of this position, as part of our background check process, candidates must be able to pass a non-registered fingerprint background check to qualify as a fingerprinted person under FINRA Ideal Qualifications * FINRA Series 7 & 63 at time of application * CFP in progress or willingness to obtain * Advanced Degree * Knowledge of financial planning software such as eMoney, RightCapital, MoneyGuide etc. * In depth knowledge of insurance products, distribution systems, and marketing concepts * Experience in multi-departments, enterprise-level initiatives. * Successfully managed projects that touch, cross and/or impact multiple organizational areas * Experience working with clients, advising on marketing/business performance, and influencing decisions with insights and measurement. * Ability to analyze datasets, identify actionable insights, and communicate findings via presentations and/or dashboards. * Ability to present simple and compelling stories to audiences of all levels. * Regular meetings with the Wealth Management Advice & Planning teams * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-JLH3 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Lead Analyst, Credit & Pricing Location: (Baltimore, MD; NYC) Hybrid The Role This role will have exciting opportunity to learn and drive significant business results through optimizing our credit risk underwriting and pricing strategies. These strategies include, but not limited to, approval/decline, loan amount assignment, term, pricing, and risk appetite framework optimization to drive healthy revenue growth, loss mitigation, and streamlining of processes in support of better profitability and healthy lending portfolio. We are looking for new team members who are excited about creating, designing and implementing new and better solutions to our business challenges with limited supervision. This role will have chance to pull the data, conduct deep analysis and investigation, apply critical thinking skills, draw insights from their work and leverage general business acumen to understand the customer behavior and develop profitable business strategies in a timely and accurate manner. The successful candidate will be able to summarizes their work and communicates effectively to management. Working with various partners, the role will also have responsibilities of reporting, strategy implementation, strategy validation and ad-hoc analyses including customer segmentation, competitive analysis, sensitivity analysis and modeling, and performance read. A successful candidate will expand their competencies and grow their business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry. Key Responsibilities: • Under your manager’s limited guidance, you will design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems., • Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies., • Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment, • Drive profitable business growth via developing strategy optimization framework with full credit-cycle view, • Implement Quality Control processes to ensure data accuracy., • Continually enhance existing processes and reporting through automation, quality control, presentation and insights., • Effectively summarize and present results and insights to management. Qualifications: • Bachelor Degree (Graduate Preferred) in a quantitative discipline, such as Engineering, Statistics, Economics, Business Management or Computer Science is preferred., • 4+ years of experience in complex, data-driven problem solving. Master’s or PHD degrees may offset experience. Who we Are OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances, • Up to 4% matching 401(k), • Employee Stock Purchase Plan (10% share discount), • Tuition reimbursement, • Paid time off (15 days vacation per year, plus 2 personal days, prorated based on start date), • Paid sick leave as determined by state or local ordinance, prorated based on start date, • Paid holidays (7 days per year, based on start date), • Paid volunteer time (3 days per year, prorated based on start date) Target base salary is $105,000-$135,000 (Baltimore) and $105,000-$145,000 (NYC), which is based on various factors including skills and work experience.

The Opportunity This is an exciting opportunity for a highly motivated and collaborative risk professional with strong quantitative and development expertise to join the Credit Risk Management team within the Capital and Investment Risk Management team and the broader Enterprise Risk Management division. As a quantitative risk developer within the Capital & Investment Risk Management team, you will be responsible for leading quantitative model implementation, development, and analysis. The ideal candidate will join a quant team to enhance Enterprise Risk Management (ERM)’s analytical and reporting capabilities, by expanding the use of existing models as well as designing and developing new tools and risk frameworks. You will work with capital, credit, market and portfolio risk teams, and ERM more broadly. This is an excellent opportunity to collaborate with risk, investment and finance, and enterprise technology (including data science) teams. The Team The Capital & Investment Risk team brings together a diverse team of experts across capital markets, risk management, actuarial, and quantitative disciplines that works together to deliver analysis and recommendations related to the management of credit, market, liquidity and capital risk, consistent with the enterprise risk appetite framework for which the team is also responsible. The team continues to be successful in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. The Impact * In this role, you will play a critical part in ensuring company’s credit risks are effectively identified, measured and mitigated, by bringing your deep analytical expertise and strong understanding of credit risk/ investment risk modeling, data and infrastructure. * Your work will help shape robust, data-driven decision-making across risk and investment areas and influence MassMutual’s evolving business strategy and operating environment. * You will partner with your peers in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. * There is a strong emphasis on innovation, with growing opportunity to apply AI-driven techniques and scalable data solutions to drive more forward-looking, efficient risk analytics that embrace emerging technologies. * The key to success in this role is a sharp analytical mindset, the ability to translate complex risk metrics into actionable insights, and a strong partnership approach with stakeholders across risk, investment management, finance, and technology. Notable responsibilities include: * Implement, develop and enhance ERM’s analytical capabilities related to credit/market risk across a wide range of fixed income asset classes * Building on MassMutual’s current approach, assist in developing and syndicating a comprehensive framework for measuring portfolio credit & market risk, that considers different accounting and capital regimes, including asset and liability impacts, with a particular emphasis on economic capital * Automate and expand the use of Moody’s credit risk tools in place today and build risk- reward framework * Use of Python/ SQL. Also, use of spreadsheets and VBA to prototype and analyze data including data investigation/cleanup * Strengthen ERM’s use and development of tools and analytics to support derivatives counterparty risk, portfolio concentration risk & stress testing capabilities * Mentor junior quantitative analysts * Scope and implement modeling, including building out requirements where not yet fully defined or understood. * The right candidate will be agile, accountable and resilient in driving initiatives and the results The Minimum Qualifications * Bachelors degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline * Minimum 8 years of relevant work experience with 5 years in investment (credit/market) quantitative risk analytics OR 5 years of relevant work experience in investment (credit/ market) quantitative risk analytics combined with graduate studies * 5+ years of experience with expertise in Python, SQL and development skills in object-oriented programing * 5+ years of experience with strong quantitative model development & implementation skills and ability to validate/understand and explain analytical results * 5+ years of experience in quantitative risk modeling across a wide range of asset classes * 3+ years of experience with ability to engage with operational work in production environment with IT developers/solution architects in maintaining infrastructure * 5+ years of experience with quantitative and programming skills in a hands-on setting to deliver new functionality The Ideal Qualifications * 7+ years of relevant work experience in investment (credit/market) quantitative risk analytics is desirable * Advanced degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline is preferred * Knowledge and experience working with derivatives and hedging risk management * Experience in using Moody’s Analytics credit risk tools is desirable. * Experience in CECL compliant portfolio credit models * Experience applying machine learning techniques in the financial industry is desirable * Software development using GitHub and Docker, adhering to enterprise standards and best practices ensuring models are validated and governed * Previous experience working on liability-driven investing projects within an insurance company is desirable What to Expect as Part of MassMutual and the Team * Regular meetings with the Quantitative teams within ERM, Investment management & ETX project teams * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/ Latinx, African American, women, LGBTQ, Veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a string and stable ethical business with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 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 ___. 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 ___ 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 Manager, Solutions Architecture, Data Security Pre-sales- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Pre-Sales Solutions Architect, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Key Areas of Focus for Solutions Architects: * Trusted Advisor: We are the front line for our customer’s tech, product, and cyber needs as well as for solutioning product specific improvements. * Customer Ambassador: We represent the voice of the customer and the customer needs in internal discussions and working groups. * Demonstrate Value: We focus on identifying the best solutions that bring value to our customers. * Thought Leadership: We use research and customer solutioning experiences to build and share thought leadership both internally and externally. * Subject Matter Experts: We focus on gaining deep understanding of our products and deep subject matter expertise across technology domains in order to best advise our customers, solve complex problems and identify areas of improvement for our products. * Pre-Sales & Post-Sales: We are focused on serving our customers predominantly in the Pre-Sales stages, as we determine how to best implement our products for their needs and also solve for any unique requests. We also focus on the Post-Sales stages, for those instances where customers will require solutions that were not part of their original product deployment. * Solution Oriented: We focus on finding solutions to address every customer problem and need using every tool, skillset and creativity at our disposal. * Channel Partnership: We collaborate with Partner Sales Engineers and Partner Sellers on joint customer strategies and joint value props, as applicable for different products. Key Responsibilities for This Role: * Cultivates trust and builds relationships with customers by identifying, documenting, and measuring pain points and desired business outcomes. * Effectively advocates and represents the voice of customers to influence organizational objectives, product roadmaps and to improve the overall customer experience. * Manages relevant customer activity, identifies risk and growth opportunities, and partners with internal teams to mitigate risks or close opportunities. * Builds and manages key processes including product fit and tech fit discoveries, customer technical win, customer FAQs, customer objections, customer feedback, customer tech research, etc.. * Serves as a knowledge resource and escalation point for coworkers and customers. * Autonomously works through complex situations and ambiguous environments by building mechanisms and solutions to close gaps and grow the business. * Leads cross-functionally to achieve organizational objectives, including the attainment of targets for customer solution needs, product fit, product growth and evolvement. * Leads high customer satisfaction through the use of data and proactive solutions. * Productively challenges the status quo with clarity, identifying and proposing different approaches and solutions. * Conducts periodic check-ins with customers to ensure product fit and to align on ways to drive more value together through technical solutioning. * Develops and maintains technical support procedures and policies. * Builds credibility and trust within the team and with our business customers and stakeholders. * Drives architecture/design reviews for our customers focused on business requirements, and as needed, designs, plans and manages architectural projects. * Analyzes, defines and documents requirements for data, workflow, logical processes, hardware and operating system environment to support customer needs. * Works with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs. * Stays current with new technology options and products, evaluating which ones would be a good fit for the customer or even a good fit for Capital One to develop. Basic Qualifications: * Bachelor’s degree or Military experience * At least 4 years of experience with design, implementation, or consulting experience of distributed applications * At least 3 years of experience in infrastructure architecture, database architecture and Data Security * At least 3 years of experience with cloud platforms (such as: AWS,GCP, Azure) Preferred Qualifications: * Master’s Degree in Computer Science, Engineering, or Information Technology * Demonstrated working knowledge of Kubernetes * Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers * High level of comfort communicating effectively across internal and external organizations * Ability to understand API design and integration * Demonstrated ability to adapt to new technologies and learn quickly * Experience working within software development or Internet-related industries * History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises * Ability to understand B2B sales process and client relationship management * Ability to understand security frameworks (for example: NIST, ISO) * Ability to understand cryptography and data encryption methodologies * Demonstrated ability to understand tokenization and data security technologies At this time, Capital One will not sponsor a new 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Manager, Solutions Architecture Richmond, VA: $204,900 - $233,800 for Sr. Manager, Solutions Architecture 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 ___. 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 ___ 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 Machine Learning Engineer (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning 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 ___. 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 ___ 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 * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * 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 * 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: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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 ___. 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 ___ 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 Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning 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 ___. 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 ___ 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 Engineer - Velocity Black As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. The Distinguished Engineer (Director-level IC) will be part of Velocity Black by Capital One that harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining via a mobile application. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. You will: * Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile * Need to wear the ‘Product hat’ with deep empathy for the customer while helping to inform and develop the technology strategy, roadmap and vision for the platforms you own while delivering application capabilities * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One and Velocity Black * Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies * Develop and leverage trusted relationships across Architecture, Design, and other Technology leaders to ensure strategic alignment across key Velocity Black and broader Digital Commerce and Innovation initiatives * Lead the craftsmanship, availability, resilience, and scalability of our solutions Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Basic Qualifications: * Bachelor’s Degree * At least 7 years of software engineering or software development experience * At least 5 years of experience with cloud native technologies (Amazon Web Services, Microsoft Azure, Google Cloud) Preferred Qualifications: * Bachelor’s or Masters’ Degree in Computer Science or related field * 10+ years of experience in software engineering or software development * 7+ years of experience with public cloud providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure) * 5+ years of experience in building large scale, customer facing systems * 5+ years of experience in Agile practices * 3+ years of experience in modernizing technology stacks * 2+ years of experience in fintech or a startup 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. Chicago, IL: $239,900 - $273,800 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished 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 ___. 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 ___ 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 Engineer - Commercial Card As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will work with the Commercial Card team to help drive the vision and technical direction for our products, playing a crucial role in leading tech initiatives and delivering complex solutions, ranging from evaluating platform choices for building new products as well as embarking on technological transformation of existing products. The role will also play a key role in collaborating with distinguished engineers across the Business Card & Payments group to define technical strategies that align to the business objectives. Mentoring engineers within the commercial card organization and elevating engineering excellence will be a key objective of this role. Hands-on experience is a big plus. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Hands-on experience to lead teams on POCs and closer to the execution on critical technical problems * Mentor engineers to elevate engineering excellence in the organization * Bachelor’s Degree * At least 7 years of experience in software engineering and solution architecture * At least 7 years of experience in enterprise architecture and design patterns * At least 4 years of experience with public cloud technologies (AWS, Microsoft Azure, Google Cloud) * Masters Degree * 10+ years of experience in software engineering and solution architecture * 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript, TypeScript, Swift * 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 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: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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 ___. 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 ___ 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 Manager, Software Engineering, Full Stack We are seeking a talented Senior Manager people leader to provide technical leadership and guidance in support of building out and scaling GraphQL as a platform for the Enterprise. This is a high impact role is for a technologist who can not only help design and implement scalable and performant GraphQL solutions but also help guide strategy, mentor the team, and streamline development practices. You will be a key player in shaping our technical roadmap, elevating our engineering talent, and fostering a culture of efficiency and quality. What You’ll Do: * Technical Leadership: Guide the team on the technical vision and strategy for GraphQL, including schema design, API governance, performance, and security as well as guide the use of Graph in AI. * Architectural Guidance: Lead the design and implementation of complex GraphQL systems, ensuring they are scalable and reliable. You'll provide expert architectural guidance to your team and others. * Cross LOB Influence: Work with teams across the enterprise to develop solutions to meet their evolving needs and collaborate closely with partners in Card to build supporting platforms. * Mentorship & Collaboration: Act as a technical expert and mentor, helping to guide engineers, improve their skills, and deliver high-quality solutions. * Cross-Functional Partnership: Partner closely with product managers and designers to translate business needs into technical solutions and align on project goals. * Innovation & Research: Stay current with cutting edge industry trends and best practices in GraphQL, supporting AI using Graph and MCP, streamline developer experience. Evaluate and recommend new tools / approaches to enhance our capabilities. * Problem Solving: Tackle complex technical challenges, providing hands-on expertise to resolve critical issues and keep development on track. * Quality & Standards: Help establish and enforce high standards for code quality, testing, and operational excellence within our GraphQL services and Agile workflows. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master’s Degree * 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, Angular or Go * 3+years of experience with GraphQL * 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 7+ years of people management experience * 2+ years of experience in Agile practices 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: $225,400 - $257,200 for Sr. Mgr, Software Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, Software Engineering 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 ___. 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 ___ 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 Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning 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 ___. 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 ___ 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 Engineer - API Platform (GraphQL) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Bachelor’s Degree * At least 7 years of experience in General software * At least 7 years of experience in Software engineering and Solution architecture * 10+ years of professional experience coding in one of the following software engineering languages (Golang, Rust, JavaScript, Python or Java) * 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support * 5+ years of experience designing, building and operating large scale distributed systems * 5+ years of experience with AWS * 5+ years of experience with DevOps and AWS IaC * 3+ years of experience with GraphQL technologies * 3+ years of experience with Authentication and Authorization Technologies (implementing GraphQL security including fine grained authorizations, rate limiting , query complexity analysis) * 3+ years of experience with SQL and NoSQL databases * Experience operating with a Site Reliability (SRE) mindset and culture 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: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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 ___. 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 ___ 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).

Director, Software Engineering - Mobile/Front-End (Velocity Black) Capital One's Card Tech Engineering Organization is seeking a Director of Software Engineering to lead, manage, mentor, and build exceptional software engineering teams to deliver game changing technologies. The Director must have the ability to attract and recruit the industry’s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-focused solutions in an iterative methodology. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. About the team: Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. You will: * Lead, manage and grow multiple teams of product focused software engineers * Mentor and guide the professional and technical development of engineers on your team * Work with product leaders to define the strategy, roadmap and destination architecture * Manage a portfolio of diverse technology platforms and projects to build scalable applications that meet our customer needs * Continuously improve software engineering practices * Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of your solutions * Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community * Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity Basic Qualifications: • Bachelor’s Degree, • At least 7 years’ experience in software development, • At least 5 years’ experience in people management, • At least 3 years of experience in public cloud technologies (AWS, GCP, Azure) Preferred Qualifications: • Master’s Degree, • 10+ years’ of experience in software development, • 4+ years of experience with AWS, • 4+ years of experience with Mobile Development (React Native, Kotlin, Swift) 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. New York, NY: $287,800 - $328,500 for Director, Software Engineering 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 ___. 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 ___ 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 Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning 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 ___. 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 ___ 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 Manager, Data Engineering - Capital One Software (Remote) Capital One Software is seeking a Senior Manager, Data Engineering who is passionate about marrying innovation with emerging technologies. In 2022, we publicly announced Capital One Software and have since brought two of our B2B software solutions to market; Slingshot and Databolt. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager Data Engineeryou’ll have the opportunity to build meaningful software that enables our customers to manage their data securely and efficiently at any scale. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master's Degree * 9+ years of experience in application development including Python, SQL, Scala, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ years of experience with NoSQL implementation (Mongo, Cassandra) * 4+ years of data warehousing experience (Redshift or Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices * 6+ years of people management experience At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Data Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Data Engineering 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 ___. 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 ___ 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 Data Engineer - Card Technology As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. About the team: In this role, you will work with our Card Data Architecture team to provide world-class data experiences that our end users love. You'll be a key player in building and shaping the future of our data infrastructure, leveraging next-generation technologies like Generative AI and Machine Learning to solve some of the hardest problems in the financial sector – all at Capital One scale. We're passionate about finding innovative solutions while maintaining a strong governance practice and ensuring data observability. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Have a software engineering/problem solving mindset being equally comfortable with deep diving on real time and batch data pipelines, with an understanding of how to build highly resilient operational platforms that can scale to 50k+ TPS with 4 9’s availability. * In-depth knowledge of handling large data pipelines to clean, transform , and observe data. * General understanding of Machine Learning principles and generative AI * Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, high performance computing patterns Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in Data Engineering Preferred Qualifications: * Masters’ Degree * 8+ years of experience in developing production-grade data pipelines for big data needs * 10+ years of experience in microservices, real time API development for distributed operational systems * 8+ years of experience in cloud native platforms ( EventBridge, Fargate, lambdas, DynamoDB). * Experience with modern data platform strategies (Data Mesh, Data Fabric) 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. Chicago, IL: $239,900 - $273,800 for Distinguished Data Engineer McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer New York, NY: $287,800 - $328,500 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data 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 ___. 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 ___ 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 Machine Learning Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning 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 ___. 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 ___ 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 Software Engineer (Velocity Black) Capital One's Digital Commerce & Innovation organization is seeking a Senior Lead, Software Engineer with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What You’ll Do: * Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile * Need to wear the ‘Product hat’ with deep empathy for the customer * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One * Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of our solutions Basic Qualifications: * Bachelor’s Degree * At least 6 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 2 years of experience delivering features to users and building APIs Preferred Qualifications: * 3+ years of experience in one or both of the following: Python, Typescript * 7+ years of experience in software development * 2+ years of experience in Agile practices and landing AI use cases in production * 3+ years of experience with AWS * Familiarity with AI tools (Retrieval Augment Generation (RAG), Vector databases, Prompt engineering, LangChain, Llama, EMP, Sandbox, Haystack) * Successful in-market implementation of UI/UX frontend development using React * Familiarity with Data and Feature Pipelines * Familiarity with Node, React * Master’s Degree 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. New York, NY: $245,900 - $280,600 for Sr. Lead Software 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 ___. 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 ___ 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: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 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 ___. 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 ___ 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 Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning 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 ___. 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 ___ 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).

Director, Technical Program Manager (API Strategies) Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About the Team: As a Director of Technical Program Management (TPM) on Capital One’s Enterprise Data team, you will execute on high priority enterprise level initiatives, influence across our organization and drive the implementation of Capital One’s future API strategies. Specifically, you will be partnering closely with Product, Engineering, Machine Learning and Supplier Management teams to drive and own upcoming API goals end-to-end. This includes outlining business priorities, deep engagement on Product planning and defining milestones which are tied to annual OKRs & success metrics. This role will be responsible for big picture thinking, strategic direction, presenting to executive/senior stakeholders and holding engineering teams accountable for overarching delivery goals. Expect to lead high-impact projects, foster a culture of continuous improvement and play a pivotal role in shaping the future of data management within the organization. Our TPM Directors have: * Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle * Exceptional communication and collaboration skills * Excellent problem solving and influencing skills * A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker * Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice * Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives * Deep focus on execution, follow-through, accountability, and results * Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. * Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: * At least 7 years of experience in technical program management * Bachelor's degree Preferred Qualifications: * 7+ years of experience designing and building data-intensive solutions using distributed computing * 3+ years of experience building scope assessments for API platforms * 3+ years of Machine Learning experience * 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS * 3+ years of experience building highly scalable mobile products & platforms * 3+ years of experience with Agile delivery * 3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $226,000 - $257,900 for Director, Technical Program Management McLean, VA: $226,000 - $257,900 for Director, Technical Program Management New York, NY: $246,500 - $281,300 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program Management 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 ___. 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 ___ 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 Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning 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 ___. 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 ___ 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).

Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You bring solid experience in databases, API development, and cloud computing. You are proficient in one or more programming languages such as Go, Java, Python, Rust or Typescript, and demonstrate strong collaboration skills to partner effectively with cross-functional stakeholders and product managers. You will: * Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers * As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. * Provide guidance and perform software development work to ensure solutions are properly engineered and maintained to support customer needs. * Mentor and guide the professional and technical development of engineers on your team. * Spearhead workstream execution, ensuring robust process and project delivery management. * Work with product managers to understand desired application capabilities and testing scenarios * Continuously improve software engineering practices * Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of your solutions * Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community * Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity * Work across to improve the velocity of your and other teams * Lead efforts to deploy new and existing applications into AWS environments * Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications: * Bachelor’s Degree * At least 7 years’ experience in software development * At least 5 years’ experience in people management Preferred Qualifications: * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * 10+ years of experience in software development * 7+ years of experience in directly managing engineering teams * 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data * 2+ years of experience in developing Generative AI models and frameworks (OpenAI family, open source LLMs, Retrieval Augmented Generation (RAG)) * 5+ years of experience in Agile practices 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: $263,900 - $301,200 for Director, Software Engineering New York, NY: $287,800 - $328,500 for Director, Software Engineering Richmond, VA: $239,900 - $273,800 for Director, Software Engineering 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 ___. 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 ___ 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 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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 ___. 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 ___ 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 Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data 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 ___. 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 ___ 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 Manager, Software Engineer (Velocity Black) Capital One's Digital Commerce & Innovation organization is seeking a Software Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team.As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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.Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love.What You’ll Do: • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company, • Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile, • Need to wear the ‘Product hat’ with deep empathy for the customer, • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One, • Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies, • Lead the craftsmanship, availability, resilience, and scalability of our solutions Basic Qualifications: • Bachelor’s Degree, • At least 6 years of experience in software engineering (Internship experience does not apply), • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud), • At least 4 years of people management experience Preferred Qualifications: • 3+ years of experience in one or both of the following: Python, Typescript, • 7+ years of experience in software development, • 2+ years of experience in Agile practices and landing AI use cases in production, • 3+ years of experience with AWS, • Familiarity with AI tools (Retrieval Augment Generation (RAG), Vector databases, Prompt engineering, LangChain, Llama, EMP, Sandbox, Haystack), • Successful in-market implementation of UI/UX frontend development using React, • Familiarity with Data and Feature Pipelines, • Familiarity with Node, React, • Master’s Degree 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. New York, NY: $245,900 - $280,600 for Sr. Mgr, Software Engineering 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 ___. 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 ___ 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 1 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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 ___. 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 ___ 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 Manager, Technology Change Risk Oversight Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, and managing technology risk. Technology Risk Management (TRM) is a small organization that packs a big punch. The ~100 professionals in TRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. Our business leaders must make technology decisions constantly. TRM makes sure they have the tech risk information they need to make good decisions. Associates within TRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. As the Senior Manager, Technology Change Risk Oversight you will play a key role in the review, risk identification, risk assessment, reporting, and effective challenge of technology processes, controls, and capabilities, including but not limited to material and high risk technology changes. You will provide subject matter expertise, oversight, and effective challenge of key Technology areas such as cloud services, enterprise architecture, cloud migrations, and overall technology deployments. As part of the second line of defense, this position will also collaborate closely with associates in first line Cyber, Technology, the Lines of Business, as well as other second line of defense risk management offices to perform and support evaluations of the effectiveness of the firm’s controls infrastructure and offer independent advice and recommendations regarding ways to further mature the firm’s cyber risk management capabilities. Finally, as a member of a growing organization, you will have the opportunity to shape and further refine your portfolio commensurate with the priorities of the organization and the company. The demands and high-visibility nature of this position requires an expert with a proven ability to work independently in a fast-paced environment and who can begin contributing immediately. Essential Functions (Responsibilities): * Provide technical leadership in assessing the practices of designing, developing, testing and implementing cloud native solutions to crucial business problems through thoughtful use of industry best practices and Capital One policy. * Evaluate proposed and approved cloud technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities * Evaluate/assess complex technological and business environment migrations to the cloud and integrated end-to-end solution options * Build and maintain relationships with technical leaders, business owners, engineers and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risk are well communicated and understood by the key stakeholders * Keep up-to-date on cutting edge technology, standards, protocols and tools in areas relevant to the rapidly changing environment at Capital One, specifically cloud native architecture, serverless, and emerging AWS services * Demonstrate strong analytical, problem-solving, and decision-making skills * Communicate and drive highly complex technology solutions to broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers * Define, structure and plan work independently * Perform independent risk assessment of our cloud environment focusing on architecture, engineering, networking, governance. * Provide expertise and advice regarding the effectiveness of device configurations, IT architecture, or IT engineering solutions * Consult with risk owners on the design and implementation or adjustment of mitigating controls associated with emerging technologies * Draft and publish independent reports for risk owners, senior management, and other stakeholders regarding risks associated with new or emerging technologies Basic Qualifications: * Bachelor’s Degree or military experience * At least 6 years of experience managing, consulting, auditing, or working in the fields of information security or information technology * At least 3 years experience with Public Cloud implementations Preferred Qualifications: * Master’s Degree in Computer Science or in an Engineering discipline * Professional certification (AWS Certified Solutions Architect, AWS Certified Security Speciality, AWS SysOps Administrator, or Certified Information Systems Security Professional (CISSP)) * Experience with Information Security at the policy, architecture or implementation level * Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus * Experience with identifying and communicating key risks related to cloud native implementations and architectures * Experience drafting reports or analytic assessments for senior management * Experience with analysis of emerging threats and reports that describe the implications of threat(s) and opportunities to executives or senior decision-makers * Passion and expertise in cybersecurity and technology risk, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions * Ability to manage multiple high-visibility and high-impact projects while maintaining superior results * Execution oriented and a self-motivator * Experience with threat modeling frameworks (STRIDE, OWASP Top 10, MITRE ATT&CK) * Familiarity with controls and control frameworks ( NIST Cybersecurity Framework, NIST 800-53, CIS Top 20, ISO, COBIT.) * Ability to work independently and in a team, taking a lead role on projects when necessary * Prior experience working in financial services or other highly-regulated sectors * Experience working in a hybrid IT environment that includes both traditional on-premises data centers and public cloud infrastructure (e.g., AWS, Azure, Google Cloud) * Experience with OpenStack At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is Hybrid, with associates expected to consistently spend three days per week in the office. 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: $225,400 - $257,200 for Sr Manager, Cyber Technical Richmond, VA: $204,900 - $233,800 for Sr Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical Riverwoods, IL: $204,900 - $233,800 for Sr Manager, Cyber Technical 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 ___. 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 ___ 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).

Disinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience with application architecture and design patterns * At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * 10+ years of experience of working with business leaders on the implications of architectural decisions * 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) * 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar * 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems * 10+ years of experience with enterprise architecture, software architecture, and design patterns * 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * Strong proficiency in modern programming languages and data processing frameworks * 3+ years of experience with Data strategy, AI and ML Technologies * AWS Solution Architect - Professional or Associate 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. New York, NY: $287,800 - $328,500 for Distinguished 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 ___. 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 ___ 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).

Director, Payment Network Technology Risk Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, software quality, and data management. Technology & Data Risk Management (TDRM) is a small organization that packs a big punch. The ~200 professionals in TDRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk, and data management risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. For years, the cybersecurity community has debated whether the CISO should report to the CIO or not. In regulated financial services, the answer is: both. The first-line CISO has operational responsibilities and reports to the CIO. The second-line Chief Tech Risk Officer (CTRO) and the Tech & Data Risk Management (TRM) organization have broader responsibilities for cybersecurity but also reliability, software quality, resilience, and the risk of failing to manage our data. The CTRO is independent and oversees the work of the CISO, the CIO/CTO, and the Chief Data Officer. The CTRO reports to the Chief Risk Officer, who reports directly to the CEO. Our business leaders must make technology decisions constantly. TDRM makes sure they have the tech and data risk information they need to make good decisions. Associates within TDRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, data analyst, data scientist, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. Director, Payment Network Technology Risk We are actively seeking a highly technical and influential thought leader to join our team as a Director, Payment Network Technology Risk. This pivotal individual contributor role demands a proven track record of partnering with senior business and technology leaders to proactively identify and strategically mitigate complex technology risks. The ideal candidate will possess a profound, hands-on understanding of global Credit and Debit Card Payment Network architectures (spanning both legacy systems and cutting-edge modern stacks), viewed through a dual lens of deep technical insight and robust risk management expertise within a fast-paced financial services payments environment. We value experience with traditional data centers infrastructure, but public cloud architecture and engineering proficiency, particularly within AWS will be a great addition. In this role, you will be instrumental in forging collaborative relationships and exerting significant influence across engineering and risk teams throughout Capital One. Responsibilities: * Serve as a technical authority, providing rigorous oversight and feedback to Payment Network Line of Business (LOB) integration activities, including strategic initiatives, tooling, processes, and technical requirements. * Strategically influence Capital One's Payment Network LOB reliability roadmap, leveraging your deep understanding of resilient system architectures and large-scale operations. * Collaborate intensely with LOB architects, product managers, engineers, and Site Reliability Engineering (SRE) teams to thoroughly comprehend existing technologies, processes and approaches, driving impactful changes. * Provide expert counsel on the development and implementation of robust policies and standards to effectively guide our critical technology migration and modernization efforts. Basic Qualifications: * Bachelor’s Degree or military experience * At least 10 years of experience in technology, reliability engineering, operational resilience, or risk management * At least 3 years of experience with payment networks, financial payment processes or technologies Preferred Qualifications: * Understanding of payment network transactional processing systems, real-time analytics, and fraud detection technologies within a high-volume financial context. * Prior experience working directly within or extensively collaborating with the technology and/or operations teams of a major global payment network (e.g., Visa, Mastercard, American Express), understanding their unique operational models and resilience challenges. * Strong technical or business architecture experience with major card payment networks (e.g., authorization, clearing/settlement systems, fraud, or dispute technologies). * Possess a recognized Cloud certification (e.g., AWS Solutions Architect Professional, GCP Professional Cloud Architect, or other relevant cloud engineering/architecture certifications). * Demonstrated experience with financial sector regulatory practices and providing effective challenges from a second line of defense perspective. * Proven expertise in performing, documenting, and effectively communicating complex technology risk assessments to diverse audiences. * 5+ years of hands-on, practitioner experience with large-scale public cloud technologies (AWS and GCP), including advanced cloud tooling, best practices, and technical architecture patterns. At this time, Capital One will not sponsor a new 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: $263,900 - $301,200 for Director, Cyber Technical New York, NY: $287,800 - $328,500 for Director, Cyber Technical Richmond, VA: $239,900 - $273,800 for Director, Cyber Technical Riverwoods, IL: $239,900 - $273,800 for Director, Cyber Technical 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 ___. 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 ___ 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 Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. New York, NY: $211,000 - $240,800 for Lead Machine Learning 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 ___. 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 ___ 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 Description Reports to: Associate Director of Grantmaking & Grants Operations Location: US-Based Remote Union/Non-Union: Union-Represented Compensation: The full-time salary is $88,000. Please note that compensation is not flexible. Deadline to Apply: September 6th Must Haves: A proven track record in grants administration, fluency in English and Arabic/Spanish/French, and a passion for human rights and social justice are non-negotiable for success in this pivotal role. Must be US-based. About MADRE MADRE is an international human rights organization that strengthens communities locally by centering the expertise of women and girls within them. MADRE builds sustainable, networked partnerships, and champions equity through systemic policy solutions and funding. MADRE integrates grantmaking, capacity bridging, and legal advocacy to achieve its goals. Since its founding in 1983, MADRE has provided more than $65 million in grants to support women and girls in more than 40 countries. Learn more about MADRE’s work at: . Position Summary MADRE is seeking a Grants Officer to play a pivotal role in their Grantmaking & Partnerships (G&P) team, including without limitation managing MADRE's grantmaking processes, overseeing the development and implementation of grant strategies, ensuring compliance, and facilitating knowledge dissemination on grants management best practices. Position Description MADRE seeks a highly motivated, dynamic, and organized Grants Officer to support MADRE’s G&P team, including assisting with the development and implementation of MADRE’s grantmaking strategy, the development and maintenance of systems to streamline MADRE’s grantmaking portfolios, and the organization of the flow of information with grantees and partners. Additionally, as part of their work with the G&P team, the Grants Officer will monitor and ensure compliance, and will support the identification and facilitation of MADRE and our partners’ grantmaking and grants management needs. The Grants Officer is also expected to generate and diffuse knowledge both internally and externally regarding protocols on grantmaking and grants management best practices. The Grants Officer may be responsible for the supervision interns and liaising with consultants. Core Responsibilities Grantmaking Strategy and Management: • Review grantee proposals for work, additional funding requests, including emergency support, or budget/grant reallocation, and make recommendations to the G&P team and leadership., • Continuously monitor and analyze regional and thematic developments and trends related to MADRE’s priority communities, while maintaining an expert understanding of their strengths, needs, opportunities, and challenges., • Collaborate with the G&P team to create and assess a comprehensive grantmaking strategy, including equitable grantmaking, multi-year grants, and exit strategies., • Plan grantmaking portfolios and integrate findings into MADRE’s systems based on partners’ needs assessments, as assigned and in collaboration with the G&P team., • Manage grant cycles and approval processes for MADRE grants to ensure compliance across MADRE’s grantmaking tracking, systems, and streamlining., • Coordinate communication with grantees to obtain necessary grant documents and financial information while also providing technical assistance and troubleshooting grantmaking challenges referred by Grants Associates., • Contribute to the collaborative work of MADRE and peer organizations, funding networks, and grantmaking communities. Grantmaking Systems Development and Refinement: • Oversee the development and refinement of annual and quarterly processes and checklists for MADRE’s grantmaking, including docket management, budget reconciliation, partner reporting and ensuring integration of updates to the grants manual through quarterly and annual processes., • Develop and implement grant and narrative tracking systems for large-scale emergency grantmaking., • Lead the automation of annual grantmaking data collection processes, document procedures, and provide training to the grantmaking team., • Collaborate with Salesforce Administrator to enhance MADRE’s Salesforce grants database, ensuring accuracy, consistency, and usability; and provide technical training and support to program staff for effective grant and program tracking., • Develop and enhance systems to track the grantmaking budget and disbursements, ensuring smooth payments and that all transactions are coded correctly and can be properly reconciled., • Collaborate with the Financial Department to conduct quarterly budget reconciliations and support the grantmaking team in budget creation and portfolio monitoring.Learning and Evaluation:, • Work closely with the G&P team and with colleagues to develop evaluation and assessment tools., • As assigned, summarize grantee reports from the grantmaking perspective and maintain detailed records of their information, including context risks, stories, testimonies, and case studies, within internal databases to facilitate comprehensive understanding and analysis of their work., • As assigned, analyze data from the grantmaking perspective to effectively showcase the outcomes and impact of MADRE’s grantmaking strategy, and collaborate with the G&P team to review and enhance narrative reporting templates for partners and grantees as necessary., • Cross-collaborate and communicate with all MADRE teams to support learning and information sharing., • Supervise interns and liaise with consultants, as required., • Communicate in both English and Arabic/Spanish/French to perform the above-listed responsibilities., • Commitment to MADRE’s mission, vision, and values., • Passionate about human rights, social justice issues, and the role of philanthropy in supporting local groups for social change., • Bachelor’s degree or equivalent work experience., • Minimum of 3-5 years of experience in grants administration and compliance and working with grantmaking databases., • Fluency in English and either Arabic, Spanish, or French., • Excellent oral and written communication skills, including the ability to manage communications professionally and with a high level of attention to detail and accuracy and the ability to draft clear, structured, grammatically correct, and persuasive writings., • Ability to work independently and take proactive action., • Strong organizational skills and the ability to thrive in a fast-paced, dynamic work environment, including managing competing priorities, reprioritizing tasks as needed, and balancing multiple assignments, grants, partners, and deadlines with professionalism and flexibility., • Knowledge of current developments/trends in area of expertise., • Ability to determine informational needs, collect and analyze information, devise and develop statistical analyses and reports and develop clear and strategic ways to present the same, • Database management skills., • Experience providing support to grantee partners in difficult circumstances or environments., • Experience completing compliance checks., • Detailed knowledge of and demonstrated proficiency in using computers and databases, including software programs such as Microsoft Office (including Microsoft Outlook, Word, Excel, and PowerPoint) and Google Drive (including Google Sheets, Docs, and Slides)., • Strong proficiency with data collection, review, analysis, and reporting. Compensation: The full-time salary is $88,000. Please note that compensation is not flexible, as our goal is to remain equitable with our starting salaries. This is a union-represented position. Working Conditions This role requires authorization to work in the United States. This role is eligible for remote work, subject to MADRE’s prior approval of your remote location. This position will require occasional in-person meetings, which are anticipated to include meetings at MADRE’s headquarters and an annual retreat(s). (a) Travel – This position may require some travel, as determined by MADRE at its discretion. b) Physical/Sensory Demands—MADRE maintains a fast-paced working environment. This position requires extensive computer usage, online engagement, and communications both within MADRE and externally. Additionally, it requires that the employee be willing to build inclusive relationships and collaborate with employees at all levels within the organization and with partners and others outside the organization. EEOC Statement MADRE is an Equal Employment Opportunity employer, committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. Black, Indigenous, People of Color, recent immigrants, persons with disabilities, LGBTIQ+ people, and other historically marginalized people from under-represented backgrounds are highly encouraged to apply. We take pride in our pluralistic community and continue to seek excellence by integrating an intersectional justice lens into all our recruitment efforts. Studies have shown that people from historically marginalized groups are less likely to apply for specific positions unless they believe they meet every single one of the qualifications listed in a job description. MADRE values lived experience and is highly committed to building a diverse and inclusive organization that centers on intersectional justice. We actively seek to reach candidates from directly impacted communities.

Job Description Who You Are: You are an experienced professional who knows how to orchestrate Social Media campaigns and always-on publishing. You're excited about the work and love being a part of making great creative happen. You can see potential in others, and delight in helping them succeed. You have an innate ability to balance the needs of your team with the demands of the business. You're a trusted agency expert on workflow and beyond. Always seeking opportunities for increased efficiency and better work, you ignite unity to enable "Wow!". You connect dots yet to be drawn. You see beyond your immediate circle and use that vision to bring people together and empower teams to make great ideas happen. Day to Day Responsibilities: Overall • Set up, embody and grow the social media management practice of the agency., • Own the definition and implementation of processes, workflows, social media playbooks, content production timelines, social content calendars, reporting ..., • Manage social media managers and community managers across the agency's clients (outside of Nissan United)., • Collaborate with business, strategy, data, content creators and production teams to bring everything to life., • Increase process vision and overall creative development efficiency within the agency., • Provide leadership across the social media management practice, offering efficient project planning and staff management., • Motivate the team by displaying a high level of respect, positivity, accountability, and clear, proactive communication., • Facilitate a collaborative, steady environment to enable and encourage the best work., • Along with the Digital Strategy team, maintain relationships with key digital partners, such as Facebook, Twitter, and Google., • Communicate objectives and priorities clearly, ensuring projects are completed on time, on budget, and error-free., • Work closely with brand and agency leaders to determine resource allocation., • Contribute new ideas., • Challenge yourself by identifying new areas of interest for personal career development. Qualifications: You have 5+ years Social Media Management experience with proof of strong upward management progress. You have experience managing a team, are a natural self-starter and have confident decision-making skills. You are experienced with Project Management and Social Content Workflow tools & software. You're digitally savvy and are an expert on the ins and outs of campaigns and content publishing on YouTube, Instagram, Twitter, TikTok, Facebook, etc. What you know, are interested in or just keep an eye on: • Best in class social activations, campaigns and memes., • Social publishing best practices and tools (CMS, Analytics, Benchmarking, Listening; Monitoring)., • Community management and engagement principles, with platform specificities in mind (some understanding of social media algorithms and key cultural uses)., • Paid Social principles and opportunities (dark posting, amplification, Facebook and Google platforms, eye for CTAs and redirections when needed, etc.)., • Influencer marketing principles and opportunities., • When we meet please tell us about your fav subreddits, the best Twitter threads you've come across, what your TikTok FYP looks like, etc. Who We Are: We are a modern, integrated agency created and managed by Omnicom to lead all marketing and communications globally for Nissan. Designed to deliver marketing transformation, Nissan United is dedicated to helping Nissan grow its brand value around the world more effectively. The team brings expertise in data, analytics, media, customer experience and CRM, all of which help drive and inspire innovation and creativity. Nissan United is housed within TBWA, AdWeek's 2024 Global Agency of the Year and one of Fast Company's Most Innovative Companies. TBWA is the Disruption agency, known for a long history of famous creative campaigns for some of the world's greatest brands and home to Apple's dedicated TBWA\Media Arts Lab. TBWA is at the cutting edge of building the most innovative agency models and teams. TBWA\Chiat\Day Values Good enough is not enough. Grab an oar. Be more human. Play like a pirate. Doing the brave thing is about courage. TBWA\Chiat\Day Attitudes Curiosity: Be open minded to ideas wherever they come; curious people are often unafraid of change; Collaboration: Self-confidence without a big ego; work with all types of people; Integrity: What we say is what we do; it is honesty and respect in our dealings with people; Resourcefulness: To find ways to do whatever we have to do for our clients, and our people. Location: Given the nature of our Business team and the client assigned to this role, we are only considering candidates that currently live in or wish to relocate to New York City or Nashville, in the near future (first 60 days of employment). The annual salary range for this role is $80,000 - $120,000 and may vary depending on the candidate's geographic location and experience. Other compensation includes relocation costs, if applicable. Benefits for this role include health/vision/dental insurance, 401(k), stock purchase, vacation, sick and personal days, Also, you will be eligible (approximately thirty days after you commence employment) to participate in all disability, life, travel insurance plans and programs, retirement plans subject to the terms and conditions of such benefit plans. Please don't let our posted ranges keep you from exploring this or any other exciting opportunities within TBWA.

Job DescriptionDescription: Why Join ADAPT? It's more than a job; it's a calling. It's where passion meets purpose. ADAPT Community Network, formerly United Cerebral Palsy (UCP) of NYC provides a multitude of services to people with developmental disabilities. At ADAPT, we are 3,000 strong, and it takes every one of us to empower the lives of the people we support. With caring and great resources at hand, we know what it takes to help people live fuller, happier, healthier lives. Our employees show their commitment to the people we support every day, and we all deliver on our promise to provide innovative and comprehensive services to individuals with developmental disabilities. For your next career move, apply with us at ADAPT Community Network! Wherever you work among our many locations around New York City, ADAPT offers paid training, competitive benefits, and we foster a team culture of learning, support, collaboration and career growth. SUMMARY Under general supervision, is responsible for the development and implementation of the Individualized Service Plans for the people we support and their advocates in accordance with the regulations and requirements of the applicable governmental and other regulatory agencies within a residential setting. Provides case management services to assigned individuals and determines individual aptitudes, interests and preferences. Identifies appropriate service providers and links individuals with providers. Coordinates services and monitors the satisfaction of the people we support with the services received. ESSENTIAL DUTIES AND RESPONSIBILITIES The duties and responsibilities of the Case Manager will include, but are not limited to the following: • Provides social services to each person we support working toward maximizing their social functioning, enhancing coping capacity of their family, asserting and safeguarding their human and civil rights, and fostering their human dignity and personal worth., • Develops and monitors individual treatment plan in accordance with regulatory and agency policy., • Participates in interdisciplinary planning. Interprets, documents, and follows up on all recommendations of interdisciplinary team meetings. Chairs all meetings of the interdisciplinary team., • Includes channels of communications and consultation with residential staff and professional staff to identify the needs as the people we support progress through habilitation., • Develops goals and activities generated by interdisciplinary team. Produces an active treatment plan schedule for each person served., • Documents comprehensive functional assessment and review of plan of care as needed., • Ensures proper data collection through observation and in-service training., • Assists in all activities of daily living and participates in activities outside of the residence, i.e. shopping, trips swimming pool as needed., • Supervises Residence Program Specialists in implementation of active treatment plans., • Makes regular and meaningful family, residential, and agency-wide contacts., • Trains and instructs Residence Program Specialists on the specific goal plans for the people we support, relevant data collection, daily routine, and general procedures and practices of the residence., • Maintains contacts with government social services agencies, not-for-profit social service agencies to access resources and/or advocate for services., • Performs individual evaluations to determine whether and when alternate placement is needed., • Handles family outreach and in-service training., • Ensures that all benefits for which the people we support may be eligible for are applied for in an expeditious manner and to effect transfer of any prior accumulated funds to agency., • Provides systematic follow-up to assure referral to appropriate community agencies upon discharge., • Works regularly with, develops, or is responsible for maintaining security of confidential information such as records of person receiving services which requires regular use of discretion. Improper disclosure may cause embarrassment, disruption, or conflict to agency or persons receiving services and their families., • Coordinates admissions to program including preparation of referral material, initial screening of applicants, contact with families, and other referral services., • Ensures all required adaptive equipment is secured and maintained in good working order., • Maintains up to date files on applicants., • Processes new admissions including contact with families and arrangements for day programming., • Advocates for the people we support to ensure that all their rights are being fulfilled., • Writes monthly case notes on all interpersonal, social, workshop progress and family contacts of the people we support., • Serves as a liaison to Day Programs, Service Coordination, and Clinics as needed., • Keeps abreast of changes in field. To perform this job successfully, an incumbent must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Ability to read, write, speak, and understand English, • Good interpersonal skills are required to interact effectively with employees, co- workers, the people we support, their families, and outside contacts., • Excellent organizational skills., • Proficiency in the use of a personal computer. And knowledge of appropriate software, • Due to sensitive nature of the position, must be able to maintain the strictest confidentiality., • Ability to work independently and handle multiple tasks., • Ability to work flexible hours. EDUCATION and/or EXPERIENCE • Bachelor's Degree in the Human Services field, • At least one year of prior experience working with people with developmental disabilities COMPENSATION: $26.78 - $27.81/hour (after probation) + Industry-Leading Benefits for all full-time employees. At ADAPT, we value diversity, equity, inclusion, accessibility, and belonging. We strive to ensure that our employees are comfortable bringing their whole, authentic self to work and that the people we support can also be their authentic selves. We value diverse backgrounds, opinions, ideas, and ways of thinking. We aim to build an inclusive and diverse workforce that is empowered and supported with leaders who create diverse and inclusive teams. We continuously seek opportunities for the organization to foster a more positive, respected, united, and collaborative culture. ADAPT Community Network is proud to be an equal opportunity employer and is committed to creating an inclusive environment for all employees. Qualified candidates of diverse ethnic and racial backgrounds and status are encouraged to apply for vacant positions at all levels. Requirements:

Job Description *Applicants MUST submit a cover letter with resume to be considered. *This position will require in-office presence. Hybrid work schedules may be possible based on specific job duties and consistent with ESD policy. *Minorities, women, and individuals with disabilities are encouraged to apply. Please contact Human Resources if you require an accommodation. BASIC FUNCTION: The New York State Governor’s Office of Motion Picture & Television Development, a part of Empire State Development, supports and fosters film and TV production across the state, working to grow the economy and serving as a liaison between the film & television industry and city, state and local governments, agencies, and authorities. Under the direction of the Executive Director and senior leadership, provide administrative support to the SVP, Executive Director/VP, AVP and MPTV team. Schedule senior level meetings and ensure staff has proper preparation and follow-up. Facilitate the strategic, efficient, and effective operation of the department, enhancing operations of the department as needed. Act as an integral part of the support team to organize and track relevant changes in the industry and public sector. Manage and coordinate the tasks, calendar, and operations for the team and leadership. Develop and implement strategies for office operations. WORK PERFORMED: • Prepare draft memoranda, correspondence, reports, worksheets, etc. using Microsoft Office software products., • Manage office technology, operations, and MIS relations, including liaising with IT and maintenance of printers, copiers, phone systems, computers, etc. Coordinate with IT and ESD, so staff are properly trained for office operations, scheduling and technology needs: liaising with IT or others to get staff resources and training, • Manage and order office supplies, as needed. Ensure staff and team needs are addressed with mailroom procedures., • Compile data, track legislation, prepare and execute correspondence and/or assist leadership and team with special projects, as needed, • Ensure proper and timely preparation, briefing and research is conducted in advance of meetings and events, assist with the coordination of staff assignments and premeeting(s) as needed, • Provide discreet handling of sensitive and confidential information. Assist in the development and implementation of projects and initiatives undertaken by the department., • Prepare expense reports for SVP/ED in a timely manner, ensuring all required supporting documentation is included. Receive, review and submit payment authorization forms, business meal authorization expense reports, pre-travel requests, mileage forms, tax exemption forms, petty cash, purchase requests. Make travel arrangements, including securing all required approvals, and ensure that all travel documents are in order and available when needed., • Review, sort and categorize incoming mail (internal or external) for ED review. Re-route mail as needed., • In coordination with operations team, create, organize and maintain the filing system for records, correspondence and other related materials. Manage and track departmental (ED/VP) to-do lists. Review files and to-do lists periodically and screen for materials that can be disposed of according to file/document retention guidelines., • Along with colleagues, screen and manage phone calls and messages, including direction to appropriate parties, prioritization, and the immediate handling of time-sensitive calls., • With operations team, manage, maintain, and update departmental contacts and databases, gain familiarity with various agency databases and procedures. Track developments on departmental and industry projects, in the press and in internal reports, • Checks all invoices for accuracy and valid signatures prior to SVP/ED approvals., • Facilitate systems for review of materials for leadership for accuracy and help to ensure on time delivery. Education Level Required: Associate Degree. Extensive direct experience can substitute for degree requirement. Equivalent Experience: Two-Five years of administrative experience supporting executive management. Skills Required: Strong written and oral communication skills are required. Must be detail oriented and highly organized with strong follow up skills. Must have ability to handle multiple changing priorities and effectively anticipate needs of management. Must be able to manage work proactively, efficiently, and effectively. Take charge of complex scheduling and travel arrangements. Highly proficient with Outlook, Excel, PowerPoint and Word, as well as with CRM tools and databases. Excellent presentation preparation skills. Must be able to work well collaboratively and independently and must be energetic, with a pleasant demeanor. Must be able to work M-F 9-530 and additional off hours/local travel as needed.

Job DescriptionDescription: We are currently looking for a Residential Case Manager, who can support our residential program supporting adults with developmental disabilities. This would be a full-time Sunday-Thursday schedule. This position includes a $1,500 sign-on bonus! Why Join ADAPT? It's more than a job; it's a calling. It's where passion meets purpose. ADAPT Community Network, formerly United Cerebral Palsy (UCP) of NYC provides a multitude of services to people with developmental disabilities. At ADAPT, we are 3,000 strong, and it takes every one of us to empower the lives of the people we support. With caring and great resources at hand, we know what it takes to help people live fuller, happier, healthier lives. Our employees show their commitment to the people we support every day, and we all deliver on our promise to provide innovative and comprehensive services to individuals with developmental disabilities. For your next career move, apply with us at ADAPT Community Network! Wherever you work among our many locations around New York City, ADAPT offers paid training, competitive benefits, and we foster a team culture of learning, support, collaboration and career growth. SUMMARY Under general supervision, is responsible for the development and implementation of the Individualized Service Plans for the people we support and their advocates in accordance with the regulations and requirements of the applicable governmental and other regulatory agencies within a residential setting. Provides case management services to assigned individuals and determines individual aptitudes, interests and preferences. Identifies appropriate service providers and links individuals with providers. Coordinates services and monitors the satisfaction of the people we support with the services received. ESSENTIAL DUTIES AND RESPONSIBILITIES The duties and responsibilities of the Case Manager will include, but are not limited to the following: • Provides social services to each person we support working toward maximizing their social functioning, enhancing coping capacity of their family, asserting and safeguarding their human and civil rights, and fostering their human dignity and personal worth., • Develops and monitors individual treatment plan in accordance with regulatory and agency policy., • Participates in interdisciplinary planning. Interprets, documents, and follows up on all recommendations of interdisciplinary team meetings. Chairs all meetings of the interdisciplinary team., • Includes channels of communications and consultation with residential staff and professional staff to identify the needs as the people we support progress through habilitation., • Develops goals and activities generated by interdisciplinary team. Produces an active treatment plan schedule for each person served., • Documents comprehensive functional assessment and review of plan of care as needed., • Ensures proper data collection through observation and in-service training., • Assists in all activities of daily living and participates in activities outside of the residence, i.e. shopping, trips swimming pool as needed., • Supervises Residence Program Specialists in implementation of active treatment plans., • Makes regular and meaningful family, residential, and agency-wide contacts., • Trains and instructs Residence Program Specialists on the specific goal plans for the people we support, relevant data collection, daily routine, and general procedures and practices of the residence., • Maintains contacts with government social services agencies, not-for-profit social service agencies to access resources and/or advocate for services., • Performs individual evaluations to determine whether and when alternate placement is needed., • Handles family outreach and in-service training., • Ensures that all benefits for which the people we support may be eligible for are applied for in an expeditious manner and to effect transfer of any prior accumulated funds to agency., • Provides systematic follow-up to assure referral to appropriate community agencies upon discharge., • Works regularly with, develops, or is responsible for maintaining security of confidential information such as records of person receiving services which requires regular use of discretion. Improper disclosure may cause embarrassment, disruption, or conflict to agency or persons receiving services and their families., • Coordinates admissions to program including preparation of referral material, initial screening of applicants, contact with families, and other referral services., • Ensures all required adaptive equipment is secured and maintained in good working order., • Maintains up to date files on applicants., • Processes new admissions including contact with families and arrangements for day programming., • Advocates for the people we support to ensure that all their rights are being fulfilled., • Writes monthly case notes on all interpersonal, social, workshop progress and family contacts of the people we support., • Serves as a liaison to Day Programs, Service Coordination, and Clinics as needed., • Keeps abreast of changes in field. To perform this job successfully, an incumbent must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Ability to read, write, speak, and understand English, • Good interpersonal skills are required to interact effectively with employees, co- workers, the people we support, their families, and outside contacts., • Excellent organizational skills., • Proficiency in the use of a personal computer. And knowledge of appropriate software, • Due to sensitive nature of the position, must be able to maintain the strictest confidentiality., • Ability to work independently and handle multiple tasks., • Ability to work flexible hours. EDUCATION and/or EXPERIENCE • Bachelor's Degree in the Human Services field, • At least one year of prior experience working with people with developmental disabilities COMPENSATION: $28.57/hour (after probation) + $1,500 sign-on bonus & Industry-Leading Benefits for all full-time employees. At ADAPT, we value diversity, equity, inclusion, accessibility, and belonging. We strive to ensure that our employees are comfortable bringing their whole, authentic self to work and that the people we support can also be their authentic selves. We value diverse backgrounds, opinions, ideas, and ways of thinking. We aim to build an inclusive and diverse workforce that is empowered and supported with leaders who create diverse and inclusive teams. We continuously seek opportunities for the organization to foster a more positive, respected, united, and collaborative culture. ADAPT Community Network is proud to be an equal opportunity employer and is committed to creating an inclusive environment for all employees. Qualified candidates of diverse ethnic and racial backgrounds and status are encouraged to apply for vacant positions at all levels. Requirements:

Job Description JOB DESCRIPTION Summary: The instructor (clinical) is responsible for effectively teaching students in assigned classes and /or clinical environments. In such assignments, the instructor is a member of the professional teaching staff, and as such is responsible for the formulation, implementation, and evaluation of the educational program in alignment with the Helene Fuld College of Nursing (HFCN) Mission, Vision, Values, and Goals. Essential Functions: • Review and adhere to College policies and procedures., • Use principles of Adult Education in determining teaching strategies and learning opportunities., • Work with lead faculty to plan, implement, and evaluate assigned course offering to maintain quality and effectiveness., • Monitor student progress closely provides advisement and follow-up throughout the term., • Communicate with students, staff, and faculty promptly (within 48 hours)., • Serve as a liaison with clinical partners., • Serve as a role model with consistent demonstration of professional characteristics including professional attire, punctuality, self-awareness (regular examination strengths and needs), effective communication (students, staff, and faculty), & respect confidentiality., • Demonstrate competence in the use of technology, software, and programs (e.g. general use of a computer, Office 365, SIS- SonisWeb/Campus Management, LMS-Blackboard/Canvas, and audiovisual equipment)., • Attend faculty meetings and scheduled faculty development programs as requested., • Maintain and enhance continued competence in the area of professional expertise and responsibility. This position has no supervisory responsibilities. Work Environment This job operates in a professional teaching environment with an extension to the clinical sector for practicum experiences. This role routinely uses standard teaching equipment such as whiteboards, AV equipment/ projectors, computers, photocopiers, and filing cabinets. Teaching may occur in a traditional classroom, skills lab, simulation area, clinical unit, and or remote learning environment including virtual classrooms, labs, and clinical experiences. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is occasionally required to sit; climb or balance, and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move objects up to 10 pounds and occasionally lift and/or move objects up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Saturday between the hours of 8 am and 9 pm. Hours vary by class schedule. Required Education and Experience • A masters’ degree in Nursing., • At least one year of teaching experience at an accredited associate or bachelor degree program. 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. More details about other duties can be found in the HFCN Faculty and Staff Handbook. Duties, responsibilities, and activities may change at any time with or without notice. Job Types: Full-Time Schedule: Benefits will be active on Day 1 of employment Ten Paid Holidays + 2 Weeks in December Summers Off Medical Dental Vision (College Paid) Short Term Disability (College Paid) Long Term Disability (College Paid) Life Insurance (College Paid) Flexible Spending Account Health Savings Account Retirement Plan – 403(B) with a Discretionary Match Pet Insurance Legal Protection Identity Theft Protection Other Voluntary Plans with Aflac Work Remotely: • At Times Required Education and Experience • A masters’ degree in Nursing., • At least one year of teaching experience at an accredited associate or bachelor degree program., • Online teaching experience is preferred EEO Statement: Helene Fuld College of Nursing provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionDescription: Founded in 2005, ASun Star provides services to individuals (adolescent, adult) and families within the our facility and the families’ home, school, and community. We utilize a strength-based approach and are dedicated to helping our families succeed within their respective community. We strive to help each individual to be “their biggest star” by striving towards their fullest potential and accomplishing goals that they have identified. We specialize in working with at-risk families and individuals diagnosed with Autism Spectrum Disorder. Our facility provides outpatient services for individual diagnosed with Mental Health and SUD diagnoses. • Oversees admin and direct service staff that are connected to assigned programs (I.E. mental health, SUD and services for those with disabilities), • Directly responsible for overseeing and managing clinical treatment and programatic needs including documentation of compliance and operational flow of clinical services., • Ensures agency compliance with all federal, state, and county, city regulations, program requirements, and accreditation standards., • Assists with any accreditation process and does what is requested, ensures operationalizing clinical policies & procedures to meet standards as directed by Director of Operations & Compliance and/or Chief Executive Director., • Assists with keeping track of obtaining prior authorizations on time and coordinating with clinical staff to complete necessary paperwork., • Provides established supervision requirements for staff and documents needed, info for record-keeping and etc. Assures the integration of the mission, values, and treatment philosophy of the agency into daily operations. • Adheres to implementation of policies and procedures, organizational plans, and assists with quality assurance measures., • Ensures that the behavioral and pharmacologic approaches to treatment are evidence based or based on objective information to provide treatment services consistent with recognized treatment principles and practices for each level of care and type of patient served by the program., • Provides or ensures, and documents, that direct clinical supervision is provided., • Ensures that clinical services are provided as specified in the patient treatment plan, and coordinated with other patient care services, if applicable, in order to provide continuity of care., • As applicable, ensures that the assessment, diagnosis and treatment of patients with co-occurring disorders is provided by appropriately trained and qualified clinical staff, and that the clinical supervision of such staff is provided., • Ability to write and assist with written policy and procedure., • Ability to assist with program curriculum creation and implementation., • Ability to run groups and individual clinical sessions., • Provides orientation and evaluation of new clinical staff., • Ensures that all clinical staff are properly licensed or credentialed in accordance to state regulations., • Participates in the identification of quality care indicators and outcome objectives and the collection and review of data to monitor clinical staff and program performance., • Assists in planning and budgeting for the provision of mental health and substance abuse counseling services and conducts utilization review with the billing department to coordinate clinical and billing issues., • Provides supervision and evaluates job performance of clinical staff., • May carry a clinical caseload in the role of a counselor., • Tracks and oversees agency census and financial authorization of services and assesses information and trends to various departments., • Oversees admin staff that are connected to assigned programs (Behavioral Health and Programs), • Attends professional conferences, trainings, as appropriate and/or required to maintain license (i.e. LCADC, LCSW/LPC)., • Master’s degree from an accredited college or university in Social Work or Counseling., • Three years experience in substance abuse treatment, two of which includes supervisory experience., • Two years experience with supporting persons with disabilities. · Able to exhibit and maintain confidentiality · Ability to make administrative/procedural decisions and judgments. · Ability to coordinate and organize meetings and/or special events. · Skill in the use of personal computers and related software applications. · Skill in organizing resources and establishing priorities. · Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community. · Records maintenance skills. · Ability to lead and train staff and/or students. · Ability to interact with students, faculty and/or staff in a team environment. · Advanced writing and editorial skills. Distinguishing Characteristics · Independent coordination of all day-to-day aspects of a specified programs. · Program planning, implementation, and monitoring. · Implementation of effective operational/administrative policies and procedures specific to the achievement of the objectives of the program. · Writing, editing, and publication of marketing, promotional, and/or educational materials and integrated reports specific to the company. · Day-to-day team interaction with, liaison between, and coordination of a wide range of internal and external constituencies involved in program activities. · Planning, preparation, and management of program budgets and expenditures. · Professional representation of agency and application of appropriate boundaries with peers and participants. · Self-motivated with strong organizational skills and strong attention to detail.

Job DescriptionDescription: Why Join ADAPT? It's more than a job; it's a calling. It's where passion meets purpose. ADAPT Community Network, formerly United Cerebral Palsy (UCP) of NYC provides a multitude of services to people with developmental disabilities. At ADAPT, we are 3,000 strong, and it takes every one of us to empower the lives of the people we support. With caring and great resources at hand, we know what it takes to help people live fuller, happier, healthier lives. Our employees show their commitment to the people we support every day, and we all deliver on our promise to provide innovative and comprehensive services to individuals with developmental disabilities. For your next career move, apply with us at ADAPT Community Network! Wherever you work among our many locations around New York City, ADAPT offers paid training, competitive benefits, and we foster a team culture of learning, support, collaboration and career growth. SUMMARY Under general direction, is responsible for designing and implementing an organized, individualized program for acquisition of functional skills that will lead to increased independent community participation for the individuals served. This is done in accordance with regulations and requirements of the agency and applicable governmental and other regulatory agencies. This is a management position that is responsible for providing supervision to the Habilitation Assistants. ESSENTIAL DUTIES AND RESPONSIBILITIES The duties and responsibilities of the Habilitation Specialist will include, but are not limited to the following: • Serves as a liaison between agency, the people we support, and families. Serves as advocate and provider for all issues pertaining to those receiving services., • Develops programs and day habilitation plans for persons served., • Implements active treatment plans for program participants, both inside and outside of building., • Supervises non-professional staff in implementation of day habilitation plans., • Participates in individual program planning process., • Orients, trains, evaluates, delegates, supervises work of, and recommends hiring and disciplining of subordinate staff., • Recognizes and observes important relationships with Service Coordinators for participants’ program development and referral for other kinds of assistance as needed., • Maintains attendance and other required records/paperwork., • Utilizes community resources, as appropriate for implementation of day habilitation plans and community integration., • Carries out basic administrative tasks related to caseload and other selected assignments as directed by program director or program coordinator., • Plans group and individual activities and assigns staff to implement them., • Trains and instructs support staff in daily routine, program planning, and general procedures and practices of the group., • Attends regularly scheduled supervisory staff meetings., • Prepares and adapts materials and plans and sets up furniture and equipment for program activities., • Participates in scheduled in-service training programs., • Provides support/coverage to other classrooms as needed., • Participates in activities outside of activity room when necessary, i.e. trips, pool, gym. Enters swimming pool with the people we support as required., • Selects and utilizes educational materials., • Teaches persons served to become more independent., • Drives agency vehicles for individual transportation, pickups, deliveries, community outings, and medical emergencies as required., • Assists persons served with transportation between buses and buildings as needed., • Performs direct care responsibilities that include feeding and toileting, as needed., • Initiates precautions within established framework to assure that own work is completed in a manner free from recognized hazards., • Performs other related duties as requested. Requirements: QUALIFICATIONS To perform this job successfully, an incumbent must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Valid New York State Driver’s License is preferred, • Ability to read, write, speak and understand English, • Good oral and written communication skills, • Good interpersonal skills necessary to interact effectively with co-workers, employees, the people we support, and their families, • Good organizational and teaching skills, • Proficiency in the use of a personal computer and appropriate software, • Ability to operate wheelchairs and adaptive equipment utilized by persons served, • Must maintain confidentiality of the records of the persons served, • Ability to analyze problems and determine corrective measures EDUCATION and/or EXPERIENCE • Bachelor’s Degree in a Human Services or related field, • One year of post graduate experience is required COMPENSATION: $25.75/hour (after probation) + Industry-Leading Benefits for all full-time employees! At ADAPT, we value diversity, equity, inclusion, accessibility, and belonging. We strive to ensure that our employees are comfortable bringing their whole, authentic self to work and that the people we support can also be their authentic selves. We value diverse backgrounds, opinions, ideas, and ways of thinking. We aim to build an inclusive and diverse workforce that is empowered and supported with leaders who create diverse and inclusive teams. We continuously seek opportunities for the organization to foster a more positive, respected, united, and collaborative culture. ADAPT Community Network is proud to be an equal opportunity employer and is committed to creating an inclusive environment for all employees. Qualified candidates of diverse ethnic and racial backgrounds and status are encouraged to apply for vacant positions at all levels.

Job DescriptionElectrical Engineer (Data Centers) - NYC - Hybrid/Remote This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $105,000 - $155,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? Benefits: • Competitive Base Salary, • Competitive Bonus & Benefits Package, • Accelerated Career Growth Job Details Electrical Engineer (Data Centers) - NYC - Hybrid/Remote We are seeking an Electrical Engineer with 7-10+ years of experience in the Design and Implementation of Technology focused Architectural/Engineering Design/Building Projects. Experience with all work phases including condition assessment and reporting, design development, production of construction documents (drawings and specifications), and construction administration. Project types include Data Centers, Critical Infrastructure Buildings, Mission Critical Healthcare Facilities, etc. Qualifications • Bachelor’s Degree in Electrical Engineering from ABET Accredited College or University., • 8+ years of experience designing power systems for Mission Critical projects, Data Centers and/or Healthcare facilities., • PE Licensed or EIT Certification, Preferred, • Proven experience as engineer designing power systems on complex projects., • Proficient in Design Software (Revit, AutoCAD, etc.), • The ability to travel occasionally to support project tasks., • Mission Critical Project Experience in Data Centers or Healthcare Projects, • Strong understanding of all A/E disciplines and project coordination, • Experience with technically complex project types, • Ability to assume responsibility, effectively and cohesively interface and communicate with clients, architects, and other trades., • Present design options to the rest of the team, architects, and clients for evaluation., • Productively work and manage within a team environment on multiple design and construction projects, • Detail oriented - able to effectively manage time and budget to meet project deliverables and schedules, • This is a full-time position with benefit package. We offer a highly competitive compensation package including base salary and annual performance bonus. Great potential for career advancement. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

Job Description Company PranaSpirit Nutrition & Wellness is a growing New York City and Los Angeles based nutrition and wellness company that strives to provide a holistic, individualized, and self-empowered approach towards attaining optimal health and vitality. The company integrates expert nutrition counseling, yoga therapy and mind-body therapies to provide a comprehensive, all-in-one platform where every individual can meet all of his/her dietary and wellness needs. PranaSpirit Nutrition & Wellness aims to nourish the body, mind, and soul with the right foods, physical activity, and lifestyle changes that will help clients achieve their goals, feel their best, and cultivate healthy habits for life. Website: Job Title and Description Recruiter/Employee onboarding Specialist Seeking 1 part-time candidate with flexible hours determined upon hire Candidates must be strongly proficient in MS Office Suite, G-Suite, Pages, Keynote. Ability to quickly adapt to multiple technology platforms is an essential requirement. Company headquarters is in Santa Monica, CA, however PranaSpirit is a New York State employer. Hours of operation are PST. This position is remote, that is work will be performed virtually. Applicants must reside in the state of New York to be considered. Responsibilities will include but not limited to: • Recruiting o Virtual/remote support for recruitment and hiring assistance o Review of candidate resumes and cover letters on ZipRecruiter o Provide suggestions for edits to job postings/descriptions o Phone screenings of prospective candidates o Tracking and evaluation of candidates to select the top candidates for the positions to pass onto owner for final hiring decision o Consult with owner/CEO on recruitment matters o Provide insight and recommendations for best hiring practices in consultation with owner/CEO • Onboarding: o Develop and write SOPs (Standard Operating Procedures) for the company. o Observe current employees as they perform tasks in various company systems to aid in development of the SOPs. o Coordinate audio/video recordings to aid in the development of SOPs • Staff Training & development: o Development of training materials for new virtual employees o Assist with virtual/remote training of new employees o As needed, update company policies and procedures/SOPs o Develop SOPs related to staff retention and development, including Myers’ Briggs Type indicator and coordination of team meetings to discuss Possible job responsibilities: • Provide coverage as needed for administrative tasks in the company, • Marketing/content writing/blogging o writing blogs/email newsletters for the company o social media posts and email / automation/drip campaigns, set up, implementation and execution, building engagement on Instagram, creating videos for Tik Tok o market research and client acquisition (e.g. set up of lead magnets) o Website copywriting/editing This position offers the opportunity for growth within the Company. Required and desirable knowledge, skills, abilities ● Must have a minimum of one year of work experience in customer service and/or an administrative role and recruiting, human resources Specific recruiting/HR experience in healthcare and education companies desired ● Minimum education required: high school: junior/senior, college, grad school (current student) ● Must be highly tech savvy, with the ability to learn new platforms quickly and efficiently. ● Impeccable writing and grammar skills, along with a strong phone presence Excellent verbal communication skills ● Ability to be flexible, in terms of work hours. ● Ability to multitask and work well under pressure and with various deadlines ● Experience with MindBody online software is desirable ● This is primarily a part time, temporary position, possibility of becoming permanent if the candidate decides to take one of the available positions. Compensation Hourly rate range - $18-$20 per hour, to be determined based on qualifications and experience. Company DescriptionPranaSpirit Nutrition & Wellness is a growing New York City and Los Angeles based nutrition and wellness company that strives to provide a holistic, individualized, and self-empowered approach towards attaining optimal health and vitality. The company integrates expert nutrition counseling, yoga therapy and mind-body therapies to provide a comprehensive, all-in-one platform where every individual can meet all of his/her dietary and wellness needs. PranaSpirit Nutrition & Wellness aims to nourish the body, mind, and soul with the right foods, physical activity, and lifestyle changes that will help clients achieve their goals, feel their best, and cultivate healthy habits for life. Website: Nutrition & Wellness is a growing New York City and Los Angeles based nutrition and wellness company that strives to provide a holistic, individualized, and self-empowered approach towards attaining optimal health and vitality. The company integrates expert nutrition counseling, yoga therapy and mind-body therapies to provide a comprehensive, all-in-one platform where every individual can meet all of his/her dietary and wellness needs. PranaSpirit Nutrition & Wellness aims to nourish the body, mind, and soul with the right foods, physical activity, and lifestyle changes that will help clients achieve their goals, feel their best, and cultivate healthy habits for life. \r\nWebsite:

Job Description Must have Prior Authorization experience. Remote but will need to come to Newark, NJ first day to pick up equipment and due orientation This position is responsible for performing RN duties using established guidelines to ensure appropriate level of care as well as planning for the transition to the continuum of care. Performs duties and responsibilities assigned by management. Serves as mentor/trainer to new RN's and other staff as needed, completes audits, reviews and updates reports and polices. Responsibilities: 1. Assesses patient's clinical need against established guidelines and/or standards to ensure that the level of care and length of stay of the patient are medically appropriate for inpatient stay., 2. Evaluates the necessity, appropriateness and efficiency of medical services and procedures provided., 3. Coordinates and assists in implementation of plan for members., 4. Monitors and coordinates services rendered outside of the network, as well as outside the local area, and refers to negotiation for such services as appropriate. Coordinates with internal departments, physician, hospital and other external customers with respect to the appropriateness of care from diagnosis to outcome., 5. Coordinates the delivery of high quality, cost-effective care supported by clinical practice guidelines established by the plan addressing the entire continuum of care., 6. Monitors patient's medical care activities, regardless of the site of service, and outcomes for appropriateness and effectiveness., 7. Advocates for the member/family among various sites to coordinate resource utilization and evaluation of services provided., 8. Referrals sent to encourage member participation and compliance in the case/disease management program efforts., 9. Documents accurately and comprehensively based on the standards of practice and current organization policies., 10. Interacts and communicates with multidisciplinary teams either telephonically and/or in person striving for continuity and efficiency as the member is managed along the continuum of care., 11. Understands fiscal accountability and its impact on the utilization of resources, proceeding to self-care outcomes., 12. Evaluates care by problem solving, analyzing variances and participating in the quality improvement program to enhance member outcomes., 13. Serves as mentor/trainer to new RN's and other staff as needed., 14. Completes other assigned functions as requested by management. Core Individual Contributor Competencies Personal and professional attributes that are critical to successful performance for Individual Contributors: Customer Focus Accountable Learn Communicate. Qualifications: Education/Experience 1. Requires an associate's or bachelor's degree (or higher) in nursing and/or a health related field OR accredited diploma nursing school., 2. Requires a minimum of two (2+) years clinical experience., 3. Requires minimum of three (3+) years experience in the health care delivery system/industry., 4. Requires minimum of two (2+) years experience with health care payer experience. Additional licensing, certifications, registrations 1. Requires an active NJ or Compact State Nurse License. Knowledge - Must be proficient in the use of personal computers and supporting software in a Windows based environment, including MS Office products (Word, Excel, PowerPoint) and Lotus Notes; Should be knowledgeable in the use of intranet and internet applications. - Requires knowledge of hospital structures and payment systems. - Requires working knowledge of case/care/disease management principles. - Requires working knowledge of operations of utilization, case and/or disease management processes. - Requires knowledge of health care contracts and benefit eligibility requirements. - Requires mentoring knowledge on the operations of utilization/case/disease management. - Skills and Abilities - Adaptability/Flexibility - Analytical - Compassion - Interpersonal & Client Relationship Skills - Information/Knowledge Sharing - Judgment - Listening - Planning/Priority Setting - Problem Solving - Team Player - Time Management - Written/Oral Communication & Organizational Skillls First and Last day in office, otherwise remote Hours 8-5, 5 days a week 2 weeks of training (potentially working with a mentor and starting cases during) Between 10-35 Cases per day, depending on need Prior Authorization Nurses