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This is a remote position. Finance Domain QA Lead Reporting to Manager Quality Engineering & AI Validation ensures Accordions software and AI-enabled solutions are validated against real finance workflows control expectations and business decision contexts. Translates finance-domain knowledge into acceptance criteria scenario design risk tiers and domain signoff standards. Domain Acceptance Design Define finance-oriented validation criteria for workflows involving accounting close reporting FP&A transaction support analytics or CFO decision support. Translate finance process expectations into realistic scenarios exception cases and acceptance standards. Controls & Materiality Review Partner with QA and Engineering to identify where outputs could create business risk control breakdowns or materially misleading outcomes. Help determine which workflows require enhanced review human signoff or restricted deployment. SME Review Leadership Coordinate fractional finance QA reviewers from practices for high-risk releases and scenario validation. Create a lightweight but repeatable process for domain-level review. Pod Support Advise pods on business correctness not just technical functionality. Review evaluation results and help distinguish low-value issues from materially important issues. Continuous Improvement Identify patterns where technically passing outputs are still operationally weak confusing or risky. Feed finance-domain insights back into benchmark sets and release criteria. 7 years of experience in finance transformation controllership FP&A transaction services financial operations or related domains. Strong understanding of finance processes internal controls and how CFO organizations consume analysis and recommendations. Experience working with technology teams product teams or transformation programs. Ability to turn business expectations into structured validation criteria. Strong judgment communication and stakeholder management skills. CPA or similar background is a plus. Bachelors degree preferred. Credible with both finance practitioners and technology teams. Strong at distinguishing theoretical correctness from real-world usability. Practical risk-aware and business-minded. Comfortable making quality calls in ambiguous scenarios. Required Skills: 7 years of experience in QA Testing or Quality Engineering with a strong focus on finance-related systems Strong domain expertise in finance such as: Investment management Financial reporting and analytics Revenue cycle accounting or portfolio management Experience validating financial data calculations and reporting outputs Strong experience with SQL and data validation techniques Experience testing data pipelines ETL/ELT processes and data platforms Familiarity with cloud environments (AWS and/or Azure) Experience with BI/reporting tools such as Tableau and Power BI Experience leading QA efforts or mentoring team members Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 155000 - 195000

Our client a Tier 1 global bank is planning for the establishment of a Prime Brokerage business to serve institutional hedge fund clients. The initial focus covers equities ETFs and US Treasuries with a client base of long/short equity equity market neutral and macro funds. The business will have to be built from the ground up within an existing bank infrastructure which means the technology program involves both the deployment of new platforms and the extension of systems already in place. The Solutions Architect hired into this role will work for the client head of the prime brokerage program as one of the senior technical authorities for the program. This person will help to set the architecture for new platforms determine how existing systems need to be modified or extended participate in the vendor selection and integration and ensure that the overall technology design is operationally sound from day one. The role carries real accountability and requires someone who has done this kind of work before in a comparable environment. Responsibilities: Architecture and Platform Design • Support the definition of the target technology architecture for the prime brokerage platform covering order management securities finance margin and collateral management client reporting and risk, • Produce solution design documentation data flow diagrams integration specifications and API contracts, • Help to establish architecture standards and design patterns for use across all technology workstreams within the program, • Drive cloud-native AI-native and API-first design principles across new platform components, • Assess the banks existing infrastructure including OMS clearing custody and risk systems for suitability within a prime brokerage operating model, • Design integration and migration strategies that extend existing platforms where appropriate rather than replacing them unnecessarily, • Identify technical debt and control gaps that would create operational or regulatory exposure in a live PB environment, • Lead the API enablement of legacy systems to support real-time data consumption by new PB components, • Support the evaluation and selection of third-party platforms across the PB technology stack including:, • Securities finance: EquiLend Pirum, • Margin and collateral: CloudMargin Imagine Software Cassini, • Client reporting: Arcesium Enfusion, • Order management and execution: Broadridge ION FIX connectivity, • Data infrastructure: Snowflake Databricks Bloomberg B-PIPE, • Work alongside program management to sequence delivery across parallel workstreams with dependencies, • Lead a mixed team of internal engineers bank architects and external implementation partners, • Provide technical oversight across delivery teams to ensure consistency with the agreed architecture, • Serve as the primary escalation point for technical blockers integration issues and design conflicts, • Communicate architecture decisions and program status clearly to senior business and technology leadership including CTO COO and Head of Prime Brokerage, • Work closely with the Prime Brokerage business team to ensure the technology roadmap reflects commercial priorities and client requirements, • Engage with Risk Compliance and Internal Audit to ensure the architecture satisfies regulatory and control expectations, • Represent the technology program in discussions with prospective clients where architecture credibility is required Qualifications : Domain Knowledge • 10 years in Capital Markets technology with direct experience in Prime Brokerage Securities Finance or Clearing operations, • Solid understanding of how a prime brokerage business operates including margin mechanics under Reg T and portfolio margin securities lending financing client onboarding and reporting, • Hands-on experience with at least two major PB vendor platforms such as EquiLend Broadridge BPS Imagine Software CloudMargin Arcesium Enfusion Murex or Calypso, • Proven experience designing and delivering complex multi-system financial technology platforms at an enterprise scale, • Strong API and integration architecture skills covering REST FIX SWIFT and event-driven messaging patterns such as Kafka, • Cloud platform experience across AWS Azure or GCP with a working knowledge of cloud-native design approaches, • Data architecture capability including real-time and batch pipeline design and data warehouse implementation with Snowflake experience preferred, • Track record of leading architecture across large technology programs with multiple delivery teams and competing priorities, • Ability to communicate technical decisions clearly and convincingly to senior business and technology executives, • Experience navigating the governance processes of a large financial institution including architecture review boards risk committees and audit engagement, • Prior experience at a major prime broker in a technology architecture or senior engineering capacity, • Involvement in a prime brokerage launch significant expansion or platform overhaul program, • Exposure to the operational side of prime brokerage such as margin management securities lending or client service, • Familiarity with portfolio margin stress-testing methodology and the systems that support it, • Experience implementing AI or machine learning capabilities in a Capital Markets context, • Understanding of how hedge fund clients interact with their prime brokers operationally including OMS connectivity reporting expectations and margin call workflows Additional Information : Discover some of the global benefits that empower our people to become the best version of themselves: • Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;, • Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;, • Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;, • Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;, • Health: Global internal wellbeing programme access to wellbeing apps;, • Participation in both internal meetings and external meetings via video calls as necessary., • Ability to go into corporate or client offices to work onsite as necessary., • Prolonged periods of remaining stationary at a desk and working on a computer as necessary., • Ability to bend kneel crouch and reach overhead as necessary., • Hand-eye coordination necessary to operate computers and various pieces of office equipment as necessary., • Vision abilities including close vision toleration of fluorescent lighting and adjusting focus as necessary., • For positions that require business travel and/or event attendance ability to lift 25 lbs as necessary. USA Benefits (Full time roles only does not apply to contractor positions) • Robust healthcare and benefits including Medical Dental vision Disability coverage and various other benefit options, • Flexible Spending Accounts (Medical Transit and Dependent Care), • Employer Paid Life Insurance and AD&D Coverages, • Health Savings account paired with our low-cost High Deductible Medical Plan Remote Work : No Employment Type : Full-time Experience: years Vacancy: 1

Builds systems that gather store and process large volumes of data for analysis.Develop ETL pipelines ensure data quality optimize data storage solutions.Python SQL cloud data tools experience (e.Cloud ETL Tools (AWS Glue / ADF).Data Quality & Storage Optimization.Brandon Consulting Associates Inc.E

Description If you are excited about shaping the future of technology and driving significant business impact in financial services we are looking for people just like you. Join our team and help us develop game-changing high-quality solutions. As a Principal Architect at JPMorganChase within Asset and Wealth Management you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies as well as support the adoption of strategic global solutions. As a Generative AI Executive Director you will lead the design and delivery of production-grade LLM systems that power mission-critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. You will collaborate with cross-functional teams to bridge advanced AI research with robust engineering ensuring our solutions are reliable secure and built for real business impact. Job Responsibilities: • Architects scalable APIs and agentic workflows enabling automation and efficiency across the firm, • Architects and delivers production LLM-based systems for text image speech and video applications, • Collaborates closely with ML Engineering Product Management and Cloud Engineering to ensure reliability and security, • Bridges advanced AI research with robust engineering to build innovative scalable production-ready solutions, • Drives results with an entrepreneurial mindset in a fast-paced high-impact environment, • Formal training or certification on software engineering concepts and 7 years applied experience, • Holds a Masters or possesses equivalent experience in Computer Science Mathematics Statistics or a related quantitative discipline, • Experience with cloud platforms (AWS Azure) and containerization (Docker Kubernetes), • Experience with Java Python Java Spring ORM frameworks Agentic AI frameworks (a2a langGraph) messaging frameworks unit and automated testing frameworks (BDD Functional & Performance) and databases, • Demonstrates extensive hands-on experience in software engineering and ML engineering with a proven track record of shipping production systems, • Advanced knowledge of software architecture applications and technical processes with in-depth expertise in one or more technical disciplines (e.g. cloud AI ML distributed systems), • Architects and implements high-throughput low-latency microservices with WebSocket gRPC REST and GraphQL including protocol buffer schema design streaming endpoints and load balancing, • Knowledge of advanced agentic workflows including multi-agent coordination stateful task management and integration with enterprise event-driven architectures, • Agent Guardrails and Evaluation frameworks, • Excellent communication and presentation skills Required Experience: Staff IC Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 204250 - 285000

Senior Software Engineer (Agentic AI / Healthcare). As an early engineering hire youll play a meaningful role in shaping architecture shipping production systems and balancing speed with quality. Cloud experience (Azure AWS or GCP).

Description Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Databricks platform architecture on AWS build Terraform/Python automation mentor teams and drive high-impact data innovation. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firms commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products improve productivity and enhance risk management effectively and responsibly. As a Senior Principal Software Engineer at JPMorganChase in Corporate AIML Data Platforms and the Chief Data & Analytics team you will bring your deep expertise in Databricks and large-scale data this role you will drive the architecture design and implementation of advanced data solutions leveraging Databricks and related technologies to enable business insights and innovation Job Responsibilities • Leadsthe design build and troubleshooting of a scalableDatabricks/Sparkdata platform and analytics workloads acrosscloud environments., • Develops and maintainssecure production-gradePythoncode; perform code reviews debugging and engineering quality improvements across the team., • Owns deliveryof scalable data pipelines and analytics solutions onDatabricks applying strong distributed computing and performance troubleshooting practices., • Designs and develops infrastructure automation for the Databricks control plane including workspace provisioning account configuration onboarding/offboarding and Delta Sharing using Terraform AWS and Python Lambdas., • Develops secure high-quality production code across Terraform modules Python Lambda functions and control plane services while reviewing and debugging code across the team., • Leads the architecture of scalable Databricks platform infrastructure including workspace automation AWS networking and control plane APIs enabling self-service for downstream teams., • Define and implement best practices for data engineering data lake architecture and distributed computing, • Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools., • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Adds to team culture of diversity opportunity inclusion and respect, • Mentor and guide technical teams fostering a culture of continuous learning and excellence in software engineering practices Required qualifications capabilities and skills • Formal training or certification on software engineering concepts and 10 years applied experience, • Expert-level proficiency in Databricks platform administration AWS networking and infrastructure-as-code with Terraform, • Hands-on experience with Python application program development with use of automated unit testing, • Hands-on practical experience delivering system design application development testing and operational stability, • Hands-on practical experience with terraform development and understanding of terraform enterprise, • Hands-on experience with GitHub / Bitbucket code versioning tool Jenkins build tool and pypi / maven artifactory integrations, • Experience in managing product release lifecycle at enterprise level. Preferred qualifications capabilities and skills • Strong knowledge of distributed compute frameworks like Spark and how platform-level configurations impact workload performance and reliability, • Experience with Agile development processes as needed (SCRUM/KANBAN) using JIRA., • Experience in Data pipelines using Spark Required Experience: Staff IC Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 232750 - 325000

Position: Senior Lead Agentic AI & Telecom Billing Transformation Location: Jersey city NJ or Philadelphia PA Duration: 1 Years JD: Key Responsibilities • Agentic AI Strategy & Program Ownership, • Architecture & Solution Design, • AI Governance Risk & Compliance Experience 5 years of experience in AI/ML development with strong Python based solution delivery • Deep domain experience in Telecom BSS & OSS covering fixed mobile IoT and converged services, • Strong experience designing end to end BSS solutions across Sales Marketing Product Finance and Customer Care, • Hands on experience with major telecom B/OSS COTS platforms (Amdocs Netcracker Comarch Ericsson), • Solid understanding of TM Forum standards and processes Programming: Python (NumPy Pandas Scikit learn PyTorch TensorFlow) Generative AI & Agentic AI: OpenAI LangChain Hugging Face Transformers LlamaIndex Web & API Development: Flask FastAPI or Django ML Lifecycle: Model training evaluation deployment monitoring and drift management Data Engineering: Data ingestion preprocessing visualization (SQL Pandas Power BI Streamlit) Cloud & MLOps: AWS SageMaker Azure ML or GCP AI Platform; Git Docker CI/CD pipelines Preferred Qualifications Bachelors or Masters degree in Computer Science Data Science or related field

Description Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products. As a Sr. Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology Core Blockchain Team you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities • Designs and implements microservices architectures using industry-standard technologies and frameworks., • Designs blockchain solutions and decentralized applications on private and public blockchain networks with proven and verified cryptographic protocols, • Drives decisions that influence the product design application functionality and technical operations and processes, • Monitors and optimize the performance of microservices ensuring high availability and responsiveness., • Troubleshoots and resolves technical issues providing timely solutions to maintain application stability., • Conducts code reviews and provide constructive feedback to peers fostering a culture of continuous improvement., • Contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle, • Implements rigorous and thorough monitoring and testing practices to ensure the security and performance goals of blockchain infrastructure, • Formal training or certification on software engineering concepts and 5 years applied experience, • A degree in Computer Science / Mathematics or equivalent work experience in a field utilizing the same subject matter, • Hands-on practical experience delivering system design application development testing and operational stability for traditional distributed systems, • Have practical experience developing on blockchain platforms such as Ethereum Hyperledger or similar, • Strong object oriented programming language -on experience with application programming backend API development and distributed microservices infrastructure inone or more programming language(s): Solidity Java JavaScript Python., • Experience and understanding of the cryptographic principles underpinning blockchain technologies such as encryption algorithms key management key wallets, • Experience with cloud infrastructure services such as Amazon Google or Microsoft Ability to tackle design and functionality problems independently with little to no oversight Preferred qualifications capabilities and skills • Experience in Financial Markets, • Experience designing and writing smart contracts with Solidity using Hardhat Truffle Slither scanning etc, • Hands-on experience with AWS EKS Docker, • Knowledge of DevOps practices and tools for continuous integration and deployment., • Familiarity with blockchain interoperability solutions, • Experience with RDBMS Required Experience: Senior IC Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 171000 - 260000

This is a remote position. Principal Quality Automation Architect Reporting to Manager Quality Engineering & AI Validation designs and scales Accordions automated quality framework across products services and AI-enabled workflows. Owns the architecture behind automated validation test harnesses evaluation pipelines test data strategy and cross-pod tooling standards. Automation Architecture Design and implement the core automation framework for functional API integration regression and workflow testing. Define standards for reusable test assets environment usage data setup and evidence capture. Create scalable approaches to testing complex multi-system workflows. AI Evaluation Infrastructure Build and maintain regression harnesses for AI-enabled features including prompt and workflow comparisons scored evaluation runs and benchmark execution. Partner with AI quality analysts to support rubric-based testing and measurable release criteria. Test Data & Environment Strategy Define approaches for test data synthetic data masked data and scenario generation. Improve reliability and repeatability of validation environments. Engineering Partnership Work closely with software engineers to improve testability observability CI/CD integration and defect prevention. Help pods move quality checks earlier in the development lifecycle. 7 years of experience in QA automation SDET or quality engineering roles. Strong experience with test automation frameworks API testing CI/CD and integration validation. Strong scripting or coding skills. Experience working with data-intensive or workflow-heavy applications. Exposure to AI or LLM validation tooling or strong interest in building in that space. Ability to design frameworks not just individual tests. Bachelors degree preferred. Systems-minded and deeply technical. Focused on scale repeatability and leverage. Comfortable setting standards others adopt. Practical about balancing sophistication with delivery pace. Base salary plus performance-based bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to skill set years and depth of experience education certifications cost of labor and internal equity. Required Skills: 10 years of experience in Quality Engineering Test Automation or QA Architecture Proven experience designing and implementing enterprise-level automation frameworks Strong hands-on experience with automation tools (e.g. Selenium Cypress Playwright or similar) Experience with API testing frameworks and microservices architectures Deep understanding of cloud platforms (AWS and/or Azure) Strong experience validating data pipelines ETL/ELT processes and data platforms Experience with CI/CD tools (e.g. Jenkins GitHub Actions Azure DevOps) and DevOps practices Strong programming/scripting experience (e.g. Python Java or JavaScript) Expertise in SQL and data validation techniques Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 150000 - 190000

#WeAreParamount on a mission to unleash the power of content you in Weve got the brands weve got the stars weve got thepowerto achieve our mission to entertain the planet now all were missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together we co-create moments that matter both for our audiences and our employees and aim to leave a positive mark on culture. Job Title: Senior Software Engineer in TestTeam: Global Quality EngineeringLocation: New York City Los Angeles San FranciscoOverviewParamount Skydance Corp. is seeking a Senior Software Engineer in Test to design architect and deliver high-quality scalable and reliable automated testing solutions across our enterprise platforms. This role requires proficient skills in Java engineering. It also requires experience in advanced test automation and knowledge of the media and streaming industry. You will use modern CI/CD practices to improve quality and reduce risk. Your work will help provide great customer experiences on CTV SmartTV mobile and web platforms.As a member of the Global Quality Engineering (GQE) organization you will utilize our existing departmental automation framework help drive quality strategies and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also leverage AI-augmented development and testing practices using Claude Code GitHub Copilot (in-IDE) Cursor and similar tools.Key ResponsibilitiesCreate Robust & Reliable Automation Coverage across front-end and back-end Create and maintain automated tests using our existing Java-based departmental test automation framework supporting API UI Mobile CTV/SmartTV and integration testing; introduce reusable libraries utilities and patterns to improve stability and scale. Utilize scalable patterns for reusable test components data management assertions parallelization and distributed execution. Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality.AI-Augmented Quality Engineering Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE) Cursor and LLM-based assistants to improve developer productivity test authoring velocity code reviews and defect triage. Apply prompt engineering and retrieval techniques to accelerate test case generation log/telemetry summarization video-quality anomaly detection and root-cause analysis. Evaluate and integrate functional AI capabilities that measurably reduce flakiness false positives and triage time within the existing framework.Media & Multi-Platform Quality Expand automation coverage for video playback streaming resiliency DRM flows SSAI/CSAI ad insertion captions/subtitles and content protection. Validate QoE metrics (startup time rebuffering ratio frame drops video/audio sync error recovery) across Roku Fire TV Android TV/Google TV Samsung Tizen LG webOS Apple TV iOS/Android mobile apps and modern web players. Leverage media tooling such as ffmpeg/ffprobe Charles/Fiddler and player inspection APIs for diagnostics and validation. Ensure consistent adoption of engineering best practices coding standards and high-quality test development patterns.Cross Functional Collaboration Partner with Video Engineering Playback/Player Ads/Monetization CDN/Streaming Operations and Platform teams to ensure robust validation of streaming experiences and ad workflows. Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. Work closely with Platform and Data Engineering to support scalable test environments quality data and telemetry.Technical Execution Design and implement complex automated test suites using Java Selenium Appium JMeter Locust REST-Assured TestNG/JUnit and related tooling within the existing framework. Build and optimize testing strategies including API/contract integration performance/reliability and device-level testing for CTV/SmartTV mobile and web. Diagnose and tackle issues related to automation reliability environment instability device fragmentation and system integration.Required Qualifications 6 years of experience in software engineering or quality engineering with solid Java development expertise. Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. Deep expertise in common test automation tools (Selenium Appium Playwright REST-Assured TestNG JUnit Maven/Gradle). AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code GitHub Copilot (IDE) Cursor or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests suggesting code reviews summarizing logs and speeding up triage. Strong knowledge of CI/CD tools (Jenkins GitHub Actions GitLab CI Argo Spinnaker) and quality gates. Proven experience testing media/streaming applications across CTV (Roku Fire TV Android TV/Google TV) SmartTV (Tizen/webOS) iOS/Android mobile and web. Hands-on validation of HLS/DASH ABR DRM captions/subtitles and QoE metrics. Cloud experience (GCP AWS or Azure) and containerization (Docker Kubernetes). Solid knowledge of software design patterns data structures and core engineering principles.Preferred Qualifications Familiarity with observability and APM tools (Grafana Prometheus NewRelic DataDog) and media telemetry(Conviva MUX NPAW etc). Experience with contract testing (PACT) service virtualization or synthetic media test data. Exposure to CTV/SmartTV automation stacks and remote device labs.Key Competencies Quality mindset commitment to reliability maintainability and continuous improvement. AI fluency practical judgment on where AI adds measurable value in testing. Systems thinking understanding distributed systems and complex media pipelines.Success Metrics Increased automation coverage across CTV/SmartTV mobile and web; reduced manual regression. Measurable reduction in escaped defects and media playback incidents. Improved stability and reliability of automated pipelines and device runs. Faster release cycles through scalable AI-augmented automation. Broad adoption and consistent usage of the GQE test framework across teams.#LI-JC1 Paramount a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global combines live sports breaking news and a mountain of entertainment. The premium streaming service features an expansive library of original series hit shows and popular movies across every genre from world-renowned brands and production studios including BET CBS Comedy Central MTV Nickelodeon Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming including every CBS Sports event from golf to football to basketball and more plus exclusive streaming rights for major sports properties including some of the worlds biggest and most popular soccer leagues. Paramount also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streamings other live channels: CBSN for 24/7 news CBS Sports HQ for sports news and analysis and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $110000.00 - 145000.00. The hiring salary range for this position applies to New York California Colorado Washington state and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors including but not limited to geographic location market demands experience training and education. The benefits available for this position include medical dental vision 401(k) plan life insurance coverage disability benefits tuition assistance program and PTO or if applicable as otherwise dictated by the appropriate Collective Bargaining position is bonus eligible. What We Offer: • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: paid time off., • An exciting and fulfilling opportunity to be part of one of Paramounts most dynamic teams., • Opportunities for both on-site and virtual engagement events., • Unique opportunities to make meaningful connections and build a vibrant community both inside and outside the workplace., • Explore life at Paramount: is an equal opportunity employer (EOE) including disability/vet. At Paramount the spirit of inclusion feeds into everything that we do on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives we believe that opportunity access resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ethnicity ancestry religion creed sex national origin sexual orientation age citizenship status marital status disability gender identity gender expression and Veteran status. If you are a qualified individual with a disability or a disabled veteran you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to Only messages left for this purpose will be returned. Required Experience: Senior IC Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 110000 - 145000

Partner with Product Engineering and QA to improve supportability and reduce recurring production issues. Finance & AI Production Readiness. Production Support Application Support or IT Service Management Experience supporting systems in cloud environments (AWS and/or Azure) Strong understanding

Work Mode: Onsite (5 days a week).AWS Python and media & entertainment domain.The software developer will work on our clients team thats developing their next-generation cloud-based content distribution pipeline in AWS that is being used to distribute media files to partners worldwide.The role will

Formal training or certification on software engineering concepts and 5 years applied experience. Hands-on Software Engineering/Development experience inCore / Full-stack Java Object-oriented analysis and design techniques Rest APIs. Hands-on exposure to AWS cloud services and ecosystems.

As AWS and Amazon Connect continue to grow rapidly we are seeking a Senior Business Development Manager to join the Cloud Economics Connect this role you will design build and own the financial models and methodologies that power Amazon Connects AI adoption motion creating the economic foundation

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status. Our inclusive culture empowers Amazonians to deliver

Description Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products. As a Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Bankings Offer Platforms Team you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Work with agentic lens to transform the use of offer data. Job responsibilities • Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors, • Develops secure and high-quality code and reviews and debugs code written by others, • Drives decisions that influence the product design application functionality and technical operations and processes, • Serves as a function-wide subject matter expert in one or more areas of focus, • Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies, • Adds to the team culture of diversity opportunity inclusion and respect Required qualifications capabilities and skills • Formal training or certification on Software Engineering concepts and 5 years applied addition 2 years of experience leading technologists to manage and solve complex technical items within your domain of expertise, • Proficiency in multiple modern technologies : Java Spring Boot Restful Microservices Python AWS or Cloud Foundry Kubernetes asynchronous messaging such as Kafka RabbitMQ etc., • Experience with Relational or NoSQL Datastores such as Cassandra PostgreSql GAIA Oracle Services Graph Databases, • Experience with data modelling and Model Driven Development/avro, • Experience with modern Agile software delivery practices such as Scrum CI/CD DDD TDD and DevOps, • Knowledge of industry wide technology trends best practices and experience mentoring teams to adopt new technologies, • Experience with creating and influencing Domain Driven Design and implementation approach, • Possess strong communication critical thinking and creative problem-solving skills Preferred qualifications capabilities and skills • Experience with experimenting with new ideas and comfortable with failure as part of a collaborative/empowered team working towards organizational goals and eager to build an innovative culture., • Experience with solutions intent using agentic lens and creates agents to build offer data and serve for seamless customer experience. Experience with creating and influencing Domain Driven Design and implementation approach Required Experience: Manager Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 152000 - 215000

Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups through to leading web companies and digital native organizations all the way to Global 2000 companies in verticals including financial services energy telecommunications retail logistics and technology. Would you like to be part of a team focused on increasing customer adoption of AWS Cloud in the Retail CPG industry Do you have the business savvy technical background and sales skills necessary to help position AWS as the cloud provider of choice for database services As a leader for this fast growing exciting space you will have the opportunity to help drive growth and shape the future of databases in the cloud. The Senior Specialist role is established to position with customers why AWS is the best place to build any database. The ideal hire will have business development experience and a technical understanding of relational and non-relational databases. As AWS continues to grow its presence within the Americas the Senior Specialist works with customers to drive managed database adoption while creating and orchestrating at scale partner execution programs initiatives research and enablement for our sales and cross functional customer teams. A proven track record of developing and executing go-to-market (GTM) / sales programs and initiatives at scale with tangible results are critical attributes that will lead to success in the role. Key job responsibilities In this role you will be accountable for: You will be responsible for working with customers and AWS account teams to advance qualified sales opportunities for enterprise application workloads and data center migration projects. These opportunities will include migrating SQL Server Oracle MySQL PostgreSQL MongoDB Cassandra and additional databases to the AWS cloud. You will be an integral part of your area or country specialized sales leadership team and will apply globally developed migration and modernization sales plays locally in a data driven way. Your build and scale out skills will allow you to build programs for demand generation teams and AWS partners to advance database workload sales opportunities across a broad set of customers across the Americas. Your excellent verbal and written communication skills will allow you build sales enablement tools evangelize our platform with our enterprise and mid-market customers as well as our valued partners Be a leader of virtual teams. You will guide Americas cross functional teams to drive database adoption on AWS across existing and new AWS customers. The ideal candidate will possess both a business background that enables them to drive an engagement and interact at the CxO / VP level to drive awareness as well as background that enables them to credibly interact with IT leaders software developers and infrastructure and applications architects. He/she should also have a demonstrated ability to think strategically and analytically about business product and technical challenges with the ability to build and convey compelling value propositions and work across the business to set vision objectives and to build consensus. A keen sense of ownership drive and desire to dive deep is a must. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying. Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud. Inclusive Team Culture Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness. Mentorship and Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • Bachelors degree or equivalent, • 5 years of infrastructure architecture database architecture and networking experience, • 5 years of cloud architecture and solution implementation experience, • 4 years of database administration experience or Bachelors degree in computer science or equivalent, • Experience in Database Administration and strong troubleshooting skills (tuning and optimization deadlocks schema design) with any Relational Database Engines (MySQL PostgreSQL Oracle SQLServer), • 5 years of database migration and modernization projects experience., • 8 years as a Database Administrator (DBA) Specialist with hands-on database administration experience including experience in Database Management & Maintenance Performance Optimization Security & Compliance High Availability & Disaster Recovery Data Migration & Integration and Collaboration & Support., • Experience working with end user or developer communities, • Experience with RDS (PostgreSQL MySQL) Redshift and/or other RDBMS systems, • Knowledge of SQL Linux OLAP and relational NoSQL & multi-dimensional databases, • Experience with industry standard tools and scripting languages (Python or Perl) for automation, • Experience with Cloud platforms (preferably AWS) database systems (SQL and NoSQL) AI tools for development productivity contributing to open-source projects and/or version control systems, • Knowledge of NoSQL databases (MongoDB DynamoDB Cassandra). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit ___

Join the team leading the next evolution of virtual care. At Teladoc Health you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges drive transformative solutions and create opportunities for growth. Together were transforming how better health happens. Teladoc Health Inc. seeks Senior Software Engineer (Multiple Openings) at its facility located at 155 E 44th Street 17th Floor New York NY 10017. Summary of Position Lead the design development and deployment of scalable software solutions for Teladocs enterprise-level telehealth SaaS platform. (30%) Manage and mentor a team of software engineers ensuring efficient project execution and timely delivery of features. (15%) Architect and implement microservices using PHP/Symfony including specialized solutions like patient matching algorithms. (20%) Oversee containerized application management in Kubernetes across multi-cloud environments (AWS and Azure). (10%) Provide technical direction for core platform components and ensure adherence to engineering best practices. (15%) Drive the adoption of emerging technologies and contribute to company-wide standards in microservices architecture CI/CD and cloud infrastructure. (10%). Telecommuting: 100% Telecommuting Will supervise 3 Software Engineers. Required Qualifications This position requires a bachelors degree or foreign equivalent in Electronic Engineering Computer Science Information Science or a related field plus 7 years of experience as a Software Engineer Full Stack Developer or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP Symfony PostgreSQL React Redux TypeScript and ; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying monitoring and maintaining applications within Kubernetes environments using Docker Helm CI/CD pipelines and observability tools (Elasticsearch Kibana Grafana and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony Node/Express and frontend UI components using integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure to support international market infrastructure. Alternatively the employer will accept a masters degree or foreign equivalent in Electronic Engineering Computer Science Information Science or a related field plus 5 years of experience as a Software Engineer Full Stack Developer or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP Symfony PostgreSQL React Redux TypeScript and ; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying monitoring and maintaining applications within Kubernetes environments using Docker Helm CI/CD pipelines and observability tools (Elasticsearch Kibana Grafana and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony Node/Express and frontend UI components using integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure to support international market infrastructure. RATE OF PAY: $189592.00 -$189592.00 per year Applicants who are interested in this position should apply by emailing resume to ______ * * * * * *

This is a remote position. AI Support Analyst The AI Support Admin plays a critical role in ensuring the smooth operation and adoption of AI tools. Acting as the first line of specialized support for AI-related escalations this individual bridges day-to-day technical assistance with long-term enablement initiatives. Reporting to the AI Enablement Lead the Analyst will partner closely with both the AI Environment Readiness and AI Training teams to resolve user issues maintain system readiness and enhance firm wide confidence in AI-driven tools. This role combines hands-on technical troubleshooting with process and training supportmaking it ideal for someone who is equally comfortable solving technical challenges documenting best practices and assisting in the rollout of new AI capabilities. AI Support and Troubleshooting • Serve as the Help Desk escalation point for all AI-related issues including tool access performance and integration challenges., • Troubleshoot and resolve incidents involving platforms such as Glean CoPilot ChatGPT Zoom AI and future AI applications., • Maintain documentation of known issues resolutions and best practices to improve first-line Help Desk response efficiency., • Monitor AI system health escalate platform-level outages and communicate impacts to stakeholders as appropriate. Collaboration and Enablement Support • Work with the AI Environment Readiness team to test new configurations validate system integrations and ensure readiness for production use., • Support the AI Training Associate in maintaining learning materials managing AI knowledge articles and coordinating firmwide training sessions., • Participate in rollout activities for new AI tools and enhancements providing hands-on user assistance and feedback for improvement., • Assist in building and maintaining AI usage dashboards and adoption reports in collaboration with the BI and Data Analytics teams. Continuous Improvement and Governance • Identify recurring support patterns and propose solutions to improve user experience and system performance., • Maintain compliance with AI governance security and data management standards., • Document AI support procedures ensuring alignment with internal IT and People Office standards., • Bachelors degree in Information Technology Computer Science or related field (or equivalent experience)., • 24 years of experience in IT support systems administration or AI/automation tool management., • Strong understanding of enterprise AI tools such as Microsoft CoPilot Glean ChatGPT Zoom AI or similar., • Excellent troubleshooting communication and documentation skills., • Demonstrated ability to collaborate across teams prioritize effectively and manage multiple concurrent tasks., • Familiarity with Power BI SQL or other reporting tools is a plus. Required Skills: 24 years of experience in Application Support Production Support QA or Data Support roles Strong analytical and troubleshooting skills Proficiency in SQL for data validation and issue investigation Familiarity with cloud environments (AWS and/or Azure) Experience working with data pipelines or ETL processes Exposure to monitoring tools (e.g. Datadog Splunk CloudWatch Azure Monitor) Experience with API troubleshooting or integration support Strong communication skills and ability to support both technical and non-technical users Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 70000 - 90000

Perceptas mission is to transform critical institutions with applied AI. We care that industries that power the world (healthcare manufacturing energy) benefit from frontier technology. We collaborate with industry-leading customers to drive AI transformation. We bring: * Forward-deployed expertise in engineering product and research * Mosaic our in-house toolkit for rapidly deploying agentic architectures * Strategic partnerships with Anthropic McKinsey AWS and the General Catalyst portfolio Our team is a fast-growing group of Applied AI Engineers Embedded Product Managers and Researchers motivated by getting frontier AI into the places that actually run the world. Percepta is a direct partnership with General Catalyst. Were hiring an AI Infrastructure Engineer to own the infrastructure deployment and operational reliability that powers Perceptas AI systems including the autonomous agents at the core of what we ship. Part of the work is hardening what exists: tightening our Terraform footprint strengthening deployment pipelines bringing more rigor to how we manage infrastructure across regions and providers. Part of it is building whats missing. And part of it is genuinely new territory figuring out what SRE means when the systems youre operating make autonomous decisions. The infrastructure patterns for the agentic systems of the future dont exist yet. Youll help define them. * Youre deploying autonomous systems. The infrastructure contract changes when your workloads have agency. * Observability means understanding why an agent made a decision not just whether a pod is healthy. * The gap between research and production is real here. Our teams move optimization algorithms and AI systems from research environments into production and youll be part of that handoff. MLOps experience isnt required but youll be closer to that boundary than most infra roles. * Small team. Real ownership. Youre making foundational decisions not inheriting someone elses. * Define infrastructure patterns for multi-agent systems that need to be observable controllable and recoverable in ways traditional apps dont require * Own and evolve our IaC stack: Terraform and Kubernetes across AWS GCP and Azure * Build observability primitives for agentic workflows tracing agent decisions and execution paths not just service latency and pod health * Design and maintain CI/CD pipelines that give teams fast trustworthy feedback from commit to production * Build operational foundations: monitoring alerting incident response and the new patterns that emerge when AI systems are participants in that response * Work across engineering teams to meet the reliability and compliance requirements of the institutions we serve (SOC 2 HIPAA regulated environments in healthcare and energy) * 5 years building and operating production infrastructure in DevOps or SRE roles * The kind of engineer who sees a manual process and cant rest until its automated well not just scripted * Strong hands-on Terraform experience * Deep experience with at least 1 major cloud provider (AWS GCP or Azure): networking IAM cost management the operational realities of production workloads * Solid Docker and Kubernetes experience in production. We run managed clusters across all 3 major clouds; this is a core part of the role * Experience designing and maintaining CI/CD pipelines (GitHub Actions GitLab CI or similar) * Scripting proficiency in Python Bash or similar * High agency: you dont wait for a ticket to fix whats broken but you communicate collaborate and bring the team along * Genuine curiosity about AI systems not just the infrastructure running them. You want to understand what youre operating * You find it interesting (not alarming) that some systems youll operate will be making decisions on their own * Multi-region and multi-cloud experience across 2 providers * Experience with single-tenant or on-prem deployments alongside multi-tenant SaaS * Familiarity with GitOps patterns and progressive delivery * Familiarity with the Grafana stack (Prometheus Grafana Loki) or equivalent * Experience with compliance frameworks (HIPAA SOC 2) and how they shape infrastructure decisions in regulated environments * Background supporting ML or research workflows moving to production: model deployment pipeline orchestration or similar * Youve thought about what observability means for non-deterministic systems and have opinions about it The infrastructure patterns for autonomous AI systems are still being written. If you want to be one of the people writing them lets talk. Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism responsibility and genuine belief that we can make it happen. We have to embrace the hard things when no one else will. Heart in the game: What were doing matters and we have to give a shit. Internally that means fixing badness when you find it. Externally it means honoring the trust our customers place in us with their most important problems. This isnt a 9-5 nor is it a job were ever going to monitor your hours. We promise to put work in front of you that matters and in return we ask you to promise to care. Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes not outputs. Everything we dothe products we build the partnerships we launch the strategy we setexists to make our customers successful. Delivery is the strategy. Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But make the call cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos. Intensity with kindness: We believe in excellence in execution candor in feedback ruthlessness in prioritization and survivalist urgency. We also believe you dont need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable. Required Experience: IC Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Monthly Salary Salary: 180 - 300

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. JOB SUMMARY: The Associate Director, Americas Network Lead will be responsible for endtoend leadership of network infrastructure operations across all sites in the Americas region. This will include ownership of Eisai's hybrid network ecosystem, encompassing SDWAN, campus/LAN networks, wireless, cloud connectivity, remote access solutions, Zscaler (ZIA/ZPA), global firewall standards, DNS/DHCP/IPAM, IDS/IPS, NAC, NDR and secure internet egress infrastructure. Reporting to the Americas Infrastructure Lead & Global Network Lead, this role will ensure high availability, reliability, and optimization of the network and adjacent infrastructure components that support businesscritical operations. The individual will collaborate with U.S. Regional Leads, Global Functional Lead, Global Infrastructure teams, IT Security, and site leadership to align operations with defined network standards, global architectures, Zero Trust principles, and compliance frameworks. The role will include oversight of onsite infrastructure resources, network vendors, and managed service partners, with a focus on operational excellence, security, and business continuity. ESSENTIAL FUNCTIONS: Infrastructure & Network Operations Leadership • Lead daytoday operations of Eisai's Americas network environment, including SDWAN architecture, LAN/WAN, WiFi, remote access, Zscaler ZIA/ZPA, and AWS cloud network connectivity (VPCs, Transit Gateway, routing, and segmentation)., • Ensure high availability, reliability, and performance of critical network services supporting research, manufacturing, labs, corporate offices, commercial operations, and cloud workloads., • Oversee incident, problem, and request management for all networkrelated issues, ensuring rapid remediation and adherence to SLA expectations., • Implement proactive monitoring, telemetry, and performance optimization using tools such as ThousandEyes, SolarWinds, Zscaler analytics, and CloudWatch., • Maintain standardized network configurations, ensuring adherence to global network architecture, Zero Trust, segmentation, and firewall policies., • Lead annual and multiyear regional network budget planning, ensuring forecasting accuracy and financial alignment to strategic priorities., • Manage ongoing operational spend, licensing, carrier contracts, and cloud networking costs to ensure financial stewardship across the Americas region. Service Desk & Technical Support Oversight • Partner with the service desk and site support teams to streamline escalation paths for network issues and maintain clear troubleshooting runbooks., • Create necessary KB documents to enable IT Service Desk team., • Ensure frontline and L2 staff are equipped with accurate triage documentation and diagnostic guidelines related to network operations., • Define and track KPIs tied to network reliability, incident response, service availability, and user experience., • Drive continuous improvement initiatives and reduce repetitive incidents through root cause analysis. Vendor & Partner Management • Manage strategic vendor relationships, including network carriers, SDWAN providers, Zscaler, firewall partners, monitoring vendors, and managed network services partners., • Oversee SLA adherence, change management, and operational performance across all thirdparty network support agreements., • Conduct and lead quarterly business reviews (QBRs) with all strategic vendors, • Collaborate with procurement and U.S. regional teams for contract renewals, licensing, bandwidth provisioning, and new network service onboarding., • Evaluate technology upgrades, roadmap alignment, and cost optimization opportunities. Backup, Recovery & Business Continuity • Ensure connectivity resilience through redundant WAN paths, HA firewall clusters, diverse internet egress, and cloud failover mechanisms., • Maintain and validate networkspecific DR procedures including SDWAN failover, DNS/DHCP/IPAM recovery, and cloud routing restoration., • Coordinate with global teams to align network DR strategies with enterprise business continuity plans. Collaboration & Communication • Serve as the primary liaison between site operations, global network engineering, cloud networking teams, and IT Security., • Communicate network performance, risks, planned maintenance, and major incidents to regional leadership and stakeholders., • Represent Americas views in global architecture discussions related to Zero Trust, segmentation, cloud expansion, cyber controls, and service reliability., • Plan, coordinate, and execute regional network projects including SDWAN upgrades, Zscaler policy rollouts, firewall refresh cycles, wireless modernization, cloud connectivity expansions, and site readiness for business initiatives., • Ensure network projects are delivered on time, within budget, and aligned to global architectural standards. Infrastructure Security & Compliance • Maintain a strong network security posture through strict adherence to Zscaler policies, firewall standards, segmentation rules, and Zero Trust requirements., • Partner with the Security team to analyze vulnerabilities, implement controls, enforce leastprivilege access, and support incident investigations., • Ensure compliance with audit requirements, GxP guidelines, regulatory expectations, and enterprise security frameworks., • Implement logging, alerting, and monitoring across critical systems. Leadership & Team Management • Mentor regional infrastructure personnel, including network engineers and site support teams., • Support workforce planning and develop technical capability roadmaps for the team., • Develop technical capability across the team through skill development, crosstraining, and knowledgesharing., • Foster a culture of ownership, operational discipline, customer focus, and continuous improvement. REQUIREMENTS: Mandatory Experience Requirements: • Bachelor's degree in IT, Computer Science, or related discipline., • The candidate must have a minimum of 10+ years of experience leading network engineering and operations teams in a complex, multisite enterprise environment, • Deep expertise in SDWAN, LAN/WAN, WiFi, firewalls, DNS/DHCP/IPAM, cloud networking, and hybrid network design., • Requires deep, practical experience with cloud networking in AWS and Azure, including VPC/VNet design, routing, security controls, and hybrid connectivity models., • Experience with Zscaler ZIA/ZPA, Zero Trust access models, and secure internet egress architectures., • Strong understanding of network security, segmentation, identitybased access controls, and cybersecurity integration., • Proven ability to lead technical teams and manage vendor partnerships., • Strong troubleshooting, stakeholder communication, and operational leadership skills., • Familiarity with regulated environments and audit requirements., • Able to work hybrid in our Nutley, NJ office (Tuesday, Wednesday, Thursday in office every week). Nice-to-Have Skills/Experience • Experience in pharmaceutical, biotech, manufacturing, or other regulated sectors., • Experience managing MSP-driven operating models., • Familiarity with Fortinet, Cisco, Aruba, AWS/Azure networking tools, Zscaler, and enterprise monitoring solutions., • ITIL certification or experience with ITIL-based processes., • Project management or leadership training certifications. Success Criteria: • Deliver reliable, stable network services across all Americas sites., • Ensure strong vendor/partner performance with consistent SLA/KPI compliance., • Maintain predictable budgeting and costefficient network operations., • Align regional network operations with global architecture and Zero Trust standards., • Reduce networkrelated incidents and enhance overall user experience., • Strengthen support capabilities for Network services across L1-L3 teams with clear processes and documentation., • Represent Americas needs effectively in global planning and ensure alignment with global strategy., • Ensure strict adherence to security, audit, and regulatory compliance requirements across all network services. #MI-LI1 Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Americas Network Lead is from :$173,100-$227,200 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. Key Responsibilities: • Tool & System Development:, • Design, develop, and maintain tools that support trading operations, including automation solutions and risk management systems., • Work closely with trading teams to identify areas for improvement and innovation., • Alert & Monitoring Systems:, • Develop and implement real-time alerts and monitoring systems to identify anomalies, opportunities, and risks in the trading environment., • Continuously refine and optimize alert systems based on feedback and performance metrics., • Data Analysis & Reporting:, • Analyze trading data to identify trends, patterns, and insights that can inform trading strategies and tool development., • Generate reports and dashboards that provide clear and actionable insights to trading teams and management., • Collaboration & Support:, • Work closely with stakeholders across the trading department to ensure tools and systems meet the needs of the team., • Provide training and support to trading teams on new tools and systems., • Continuous Improvement:, • Stay up-to-date with the latest trends and technologies in sports betting and trading., • Proactively identify opportunities for process improvement and innovation within the trading function., • Lead or participate in special projects aimed at enhancing trading performance and operational efficiency. Essential Functions • Must be able to stand or sit and operate computers and other technological devices for extended periods of time Qualifications • 3+ years experience in a sports trading role required, • 3+ years experience in an analytical role preferred, • Technical skills in SQL, Python, Google Apps Script, cloud computing platforms (e.g., AWS, Azure, Google Cloud) preferred, • Experience with Apache Kafka for real-time data processing and streaming is a plus, • Experience in developing tools and systems for a trading department a plus, • Bachelor's degree preferred, • Ability to work under pressure in a fast-paced environment, • Ability to communicate effectively with a range of stakeholders, • Effective analytical and problem-solving skills, • High attention to detail, • Extensive knowledge of sports betting products and terminology, • High level of personal initiative and motivation, • Aptitude for project management and ability to clearly communicate updates at all stages of project lifecycle through delivery Compensation For Salaried Roles The annual salary range for this position is $79,840.00 to $106,454.00. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-IK1

JOB DESCRIPTION Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together. As a Principal AI/ML at JPMorgan Chase within the Corporate Sector – AI/ML & Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery. You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key. Job Responsibilities • Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions., • Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions., • Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage., • Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems., • Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks., • Drive the adoption and execution of AI/ML Platform tools across various teams., • Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques., • Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth., • Formal training or certification on engineering concepts and 10 years applied experience. In addition, 5 years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization., • Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn)., • Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture., • Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators., • Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems., • Strong coding skills and experience in developing large-scale AI/ML systems., • Strategic thinker with the ability to craft and drive a technical vision for maximum business impact., • Proven track record in contributing to and optimizing open-source ML frameworks., • Recognized thought leader within the field of machine learning. #LI-RB3 #AIMLTECH ABOUT US Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans ABOUT THE TEAM Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Operations teams develop and manage innovative, secure service solutions to meet clients’ needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

Expert-level knowledge of microservices architecture, API design, and cloud platforms (AWS, Azure, GCP) and experience with event-driven architectures, streaming, and message brokers (Kafka, RabbitMQ). You will collaborate with internal teams and business leaders alike, creating strategically sound

JOB DESCRIPTION As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases., • Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives., • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency., • Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation., • Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications., • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability., • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • 6+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production., • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API., • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API., • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization., • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly Transformer., • Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications., • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects., • Familiarity with the financial services industries., • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework, • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

JOB DESCRIPTION This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability. Job Responsibilities: • Define the AI‑driven validation roadmap across Business Banking., • Architect and embed end‑to‑end AI checks into campaign authoring and execution workflows for all channels., • Build AI/ML models to enhance final reads (pre‑launch approvals), incorporating external signals and trend analysis to generate actionable recommendations., • Partner with Marketing, , Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub‑LOBs., • Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices., • Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings., • Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives., • Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes., • Formal training or certification in Software Engineering concepts and 1+ years applied experience, • Experience of Gen AI builds, Agents, and MCP., • Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must., • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs), • Hands-on experience with machine learning and deep learning methods., • Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch)., • Strong programming skills in languages such as Python, R, or Java., • Ability to design and implement complex algorithms for recommendation systems and trend analysis., • Experience in data integration and real-time data processing., • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods., • Experience of all LLM models and their capabilities, • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc., • Prior experience in credit card marketing and in-market testing., • Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies., • Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation. ABOUT US Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans ABOUT THE TEAM Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

JOB DESCRIPTION In this role, you will set technical direction, build and mentor high-performing teams, and establish rigorous practices for model development, evaluation, and governance. You’ll operate at the intersection of innovation and execution—accelerating adoption of AI capabilities (including LLM-driven workflows where appropriate) while ensuring reliability, safety, and measurable outcomes in a highly regulated environment. As an Applied AI ML Director in the Commercial & Investment Bank(CIB) Ai4Tech Team at JPMorgan Chase, you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted, top-tier technology products in a secure, stable, and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm, innovate for business impact, and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends, best practices, and technological advancements. Job responsibilities • Establish and promote common AI assets to drive efficiency and scale across CIB use cases., • Design and deliver GenAI solutions using advanced large language models (LLMs) and related techniques., • Define robust evaluation frameworks and feedback loops for agentic systems and GenAI applications to ensure safety, accuracy, and continuous improvement., • Advise on strategy and the development of multiple products, applications, and technologies, aligning AI roadmaps with business outcomes., • Serve as the lead advisor on technical feasibility and business value for applied AI/ML use cases., • Liaise with firmwide AI/ML stakeholders to coordinate standards, governance, and adoption., • Translate complex technical issues, trends, and approaches for senior leadership to enable strategic, well-informed decisions on technology advancements., • Influence across business, product, and technology teams and successfully manage senior stakeholder relationships., • MS with 10+ years of experience or PhD with 5+ years of experience in Computer Science, Machine Learning, or a related field., • Formal training or certification in machine learning; with 5+ years of applied experience in one or more programming languages (e.g., Python, Java, C/C++)., • Strong understanding of AI implementation in software development, including modernization of legacy codebases., • Deep expertise in LLM techniques (e.g., agents, planning, reasoning) and related methods., • Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph); verify any third‑party tools are approved for use at JPMorgan Chase before implementation., • Experience with vector databases, scalable retrieval systems, and evaluation metrics for LLMs., • Hands-on experience in code and architecture, collaborating closely with engineering to productionize experimental results., • Strong proficiency with deep learning frameworks such as PyTorch or TensorFlow., • Solid understanding of ML techniques, especially in Natural Language Processing (NLP) and LLMs. Experience in leading technologies to anticipate, manage, and resolve complex technical challenges within your domain. Preferred qualifications, capabilities, and skills • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc., • Background in model governance, bias mitigation, and responsible AI practices with track record of delivering AI platforms or shared services used across multiple lines of business. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world's most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI. • Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery., • Design and implement scheduling primitives to optimize the lifecycle of training jobs., • Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures, • Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability., • Work closely with Finance and Procurement teams to drive our capacity planning process., • Participate in our team's on call process to ensure the availability of our services., • Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment., • 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)., • Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++), • Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling., • Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling., • Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput, • Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments., • Experience with distributed training techniques such as DeepSpeed, FSDP, etc., • Experience with the NVIDIA software and hardware stack (CUDA, NCCL), • Experience with PyTorch About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We're looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: • Build and mature database foundations for Scale, leveraging industry-standard platforms., • Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Mentor other engineers and become deeply involved in architectural design and database best-practices., • Improve our high engineering standards, tooling, and process., • Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs., • Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale., • Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: • 5+ years of industry experience as a database engineer post graduation., • Engineering experience with building real-time and distributed system architecture., • Experience designing and self hosting databases on industry standard public cloud platforms, • Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis, • Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication, • Experience developing and optimizing backup and restore functionality to meet RTO goals, • Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand)., • Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: • Prior startup experience to help us grow responsibly., • Experience with AWS, Datadog, ElasticSearch, • Experience with cloud-based data warehouse solutions like Snowflake or Databricks., • Experience with cost optimization strategies and techniques for database platforms., • Experience developing and designing intermediary data abstraction layers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Technology Cyber Security Architect Cooley is seeking a Cyber Security Architect to join the technology team. Position summary: Cooley Technology embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, the Cyber Security Architect will work to maintain and monitor the security practices and systems implemented by the firm.The Cyber Security Architect will proactively identify and mitigate cyber threats to protect our organization's assets with a focus on emerging technologies and artificial intelligence (AI) security. Working collaboratively with Technology and Innovation teams, the position will design advanced security architecture and threat detection techniques. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design and maintain enterprise security architecture across on-premises, hybrid, and AI-enabled environments, • Define security standards, patterns, and reference architectures aligned with business objectives and regulatory requirements, • Conduct security architecture reviews for new systems, applications, AI/ML platforms, and major technology changes, • Partner with engineering, infrastructure, DevOps, and data teams to embed security, privacy, and governance into system design and delivery, • Design security controls for AI and ML systems, including data pipelines, model training environments, inference platforms, and AI integrations, • Identify and mitigate risks related to AI systems, such as data leakage, model poisoning, prompt injection, and adversarial attacks, • Evaluate and recommend security tools, platforms, and AI-enabled security technologies, • Ensure architectures comply with applicable legal, regulatory, and industry frameworks (e.g., NIST, ISO 27001, SOC 2, GDPR, emerging AI regulations), • Establish guardrails for responsible and secure use of generative AI and large language models, including access controls, monitoring, logging, and auditability, • Support incident response, forensic investigations, and post-incident architecture improvements, • Provide guidance and mentorship to security engineers and other technical stakeholders, • Communicate architectural decisions and security risks clearly to technical and non-technical audiences, including senior leadership, • Required to participate in a 7x24 on-call rotation, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 3+ years direct applicable experience (e.g., cybersecurity, infrastructure, or systems architecture). Senior level candidates considered with 5+ years direct applicable experience., • Strong knowledge of network security, identity and access management (IAM), encryption, and endpoint security, • Ability to translate business requirements into secure technical designs, • Extensive knowledge and experience with the configuration of security controls and secure migration of enterprise applications, • Experience with implementing security tools and architecture such as:, • Access Controls, • Data Loss Prevention (DLP), • Web Application Firewalls (WAF), • Secure SDLC and Software Security, • Firewalls, • Anti-malware and anomaly detection controls, • Data encryption in transit and at rest, • Network security, • Monitoring, • Bachelor's Degree in Information Technology, Computer Information Systems, Computer Science, Information Security, or related discipline, • Familiarity with security frameworks and best practices (NIST CSF, Mitre ATT&CK, Zero Trust, OWASP, emerging AI regulations), • Familiarity with common security controls in the enterprise (Firewall, Proxy, AV, SIEM, etc.), • Experience with incident response procedures, • Working knowledge of securing AI-enabled applications and services, including data access controls, model integration, and API security, • Experience applying existing security frameworks and controls to emerging technologies, including AI and automation platforms, • Extensive knowledge and understanding of security issues, techniques, and implications across multiple computer platforms, • Demonstrated experience leading and developing others by providing technical guidance and leadership to project teams, • Solid knowledge and understanding of security regulations and best practices such as the ISO 27000 family of standards, • Solid knowledge and understanding of systems development life cycle (SDLC), • Demonstrated experience translating business requirements into architectural deliverables and technical specifications, • Demonstrated experience communicating technical information to business clients and less experienced technologists, • CISSP, CISM or equivalent, • Experience with CI/CD pipelines, • Cloud Architecture and/or Cloud Security Certifications (AWS, Azure, GCP), • Cloud Security Alliance (CCSP, CCSK) (ISC)2, • Additional security certifications Competencies: • Excellent analytical, problem-solving, customer service, project management and communication skills, • Goal-oriented, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills, • Ability to interact well with all levels of staff and coordinate with several teams to achieve objectives, • Flexible and patient with process development/execution and adherence to instruct project management practices, • Capable of grasping new concepts quickly and without prior experience, • Ability to multi-task and work in fast-paced environment, • Entrepreneurial by nature, • Excellent attention to detail, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Proactive, analytical mindset, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineering 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 8 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 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

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

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

Sr. 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 8 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 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

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

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

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on 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. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Plano, TX: $179,400 - $204,700 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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