Sr Lead Software Engineer - AI/ML
JPMorgan Chase
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.As a Senior Lead Software Engineer - ML at at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm’s business objectives and drive innovation in ML platform capabilities.Job responsibilitiesRegularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.Drives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life CycleRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stabilityProficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL). Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructureStrong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoringExperience developing APIs and platform services for ML workflowDemonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experiencePreferred qualifications, capabilities, and skillsFamiliarity with Databricks for scalable data engineering and ML platform integrationExperience working with Snowflake for cloud-based data warehousing and analyticsExposure to Snorkel AI for programmatic data labeling and training data managementExperience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)Familiarity with feature stores, model registries, and ML metadata managementExperience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)Experience with RESTful APIs and microservices architecturesChase 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/VeteransOur 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.Full timePosting Date: 2026-07-02
- ...top-notch technology products.As a Senior Lead Software Engineer at JPMorganChase within the Consumer and... ...code written by others—leveraging AI-assisted development tools (e.g., LLM-based... ...practical and responsible application of AI/ML techniques in software engineering...SeniorFor contractors
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Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (... ...be expected to perform many ML engineering activities,... ...team to create and enhance software that enables state-of-the-art... ...Responsible and Explainable AI. Use programming languages...SeniorFull timePart timeInternshipLocal area- Kroll is building AI-enabled internal products that materially accelerate... .... This role is not traditional software engineering. It is AI-orchestrated product development.The Lead Engineer will own end-to-end... ...with data and ML engineers when integrating models...Temporary work
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...ourTotal Rewards philosophy.AI is a fundamental part of... ...decisions, and mentor engineers across the organization.... ..., high-impact group of ML engineers and platform... ...ship AI-powered products.Lead technical strategy and architecture... ...Python skills and sound software engineering fundamentals...SeniorFull timeWork at officeLocal areaRemote work2 days per week3 days per week$203.4k - $275.2k
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...era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity... ...'s; or 8 years with a Master's.Expert reputation in the AI/ML community and the Snowflake ecosystem.Visionary thinker with the ability...$184.9k - $250.2k
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