Applied AI ML, Associate

JPMorgan Chase & Co. • New York, NY

15h • $124,000 - $170,000

About The Position

As an Applied Artificial Intelligence and Machine Learning Associate on the Applied AI Research team in JPMorganChase’s Commercial & Investment Bank, you will contribute to building autonomous agent systems that solve high-impact business problems. The team aims to transform operations by applying agent-based AI and modern generative AI techniques. You will help translate business needs into measurable outcomes through applied research, model development, and enterprise-ready delivery, in a collaborative environment that values ownership, learning, and responsible AI adoption.

Requirements

• Formal training or certification in applied artificial intelligence and machine learning concepts, and at least 2 years of applied experience.
• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience.
• Hands-on experience building production-grade software in Python, including testing, refactoring, and version control best practices.
• Experience applying machine learning methods to real-world problems and evaluating results with clear, reproducible metrics.
• Experience deploying or supporting services in a cloud environment, with attention to reliability, observability, and latency.
• Strong software engineering fundamentals, including data structures, algorithms, object-oriented design, and applied problem solving.
• Strong communication skills and ability to collaborate effectively with technical and non-technical partners.

Nice To Haves

• Experience building or evaluating autonomous agent systems, including planning, tool use, orchestration, or multi-agent coordination.
• Experience with cloud-based machine learning platforms such as AWS SageMaker or Amazon Bedrock.
• Experience building and evaluating large language model solutions using structured evaluation approaches and safety guardrails.
• Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative AI.
• Familiarity with financial services domains and operational processes, including risk-aware design and production constraints.

Responsibilities

• Build and enhance generative AI and agent-based solutions to automate complex operational workflows.
• Translate business problems into technical approaches, success metrics, and experiment plans, with guidance from senior team members.
• Develop and test agent workflows involving planning, tool use, and orchestration to improve reliability and measurable performance.
• Implement reusable services, libraries, and reference patterns that accelerate applied AI delivery across teams.
• Conduct rigorous evaluation, including offline and online testing, error analysis, and quality measurement.
• Partner with business and technology stakeholders to gather requirements, communicate tradeoffs, and support production readiness.
• Consider reliability, security, and operational constraints when designing and implementing solutions for responsible scaling.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level