Applied AI ML Associate

JPMorgan Chase & Co. • Jersey City, NJ

3d • $124,000 - $170,000

About The Position

As an Applied AI/Machine Learning Engineer within JPMorganChase's Wholesale Payments Operations, you will build, deploy, and continuously improve AI-enabled products for complex, high-impact business problems. You will turn ambiguous opportunities into technical approaches, develop models and services suited to production conditions, and support responsible, scalable adoption of modern AI. The role partners with business and technology stakeholders to deliver measurable outcomes, including faster decision-making, improved risk detection, and more efficient workflows.

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, or a related field, or equivalent practical experience.
• Hands-on Python experience building production-grade software, including services, APIs, testing, and refactoring.
• Experience deploying services to cloud infrastructure and supporting production constraints such as reliability, observability, and latency.
• Demonstrated ability to apply machine learning to real-world text and document use cases and evaluate model quality using clear metrics.
• Strong software engineering fundamentals, including object-oriented design and concurrency concepts.
• Experience taking work from problem definition through deployment and iteration, including communicating tradeoffs and progress to partners.
• Experience using AI coding assistants responsibly to improve delivery speed while maintaining code quality, security-mindedness, and test coverage.
• Strong communication skills and a collaborative working style.

Nice To Haves

• Experience with managed machine learning platforms, such as Amazon SageMaker or equivalent, for training and deployment workflows.
• Experience building and operating large language model solutions, including structured evaluation approaches and guardrails.
• Experience productionizing natural language processing and/or document understanding solutions at scale.
• Experience designing AI-enabled automation workflows with measurable quality and ongoing production monitoring.
• Familiarity with prompt design and iterative improvement practices that make AI behavior reviewable and reproducible.

Responsibilities

• Frame problems, define success metrics, and deliver end-to-end AI solutions through production releases that create measurable operational impact.
• Partner with operations, product, and engineering stakeholders to design workflows that augment decision-making and reduce manual effort.
• Build and deploy reliable cloud-based AI services with monitoring and operational readiness.
• Develop and maintain data and evaluation pipelines for repeatable training, testing, and continuous production improvement.
• Apply machine learning to text and documents, including natural language processing, classification, document understanding, and optical character recognition.
• Design AI-enabled automation with appropriate safeguards, defining interfaces, controlling behavior, and measuring quality, latency, and cost tradeoffs.
• Improve codebases through refactoring, testing, documentation, and engineering best practices.
• Diagnose model and service performance issues, identify root causes, and implement evidence- and feedback-based improvements.

Benefits

• Competitive total rewards package, with 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: Mid Level