JPMorgan Chase
Applied AI/ML Senior Associate - Payments
$138K–$195K
New York, NY +2 · Senior · Full-time · Posted May 28, 2026
- Location
- New York, NY
Palo Alto, CA
Seattle, WA - Experience
- Minimum 3 years of industry experience; 2+ years in specified AWS EMR, feature store, and SageMaker work; 1+ years in NLP or LLM/AgenticAI; 3+ years in other machine learning techniques.
- Education
- Master’s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research).
About the job
Researches, develops, and deploys AI/ML solutions and data pipelines to improve payment processes, fraud detection, and customer experience.
What you'll do
- Collaborate with cross-functional teams to identify payment challenges and develop data-driven solutions.
- Design, develop, and deploy scalable machine learning and AI solutions aligned with business goals.
- Document models, monitor performance and compliance, and communicate business impact to stakeholders.
What they ask for
- Master’s degree in a quantitative discipline and at least 3 years of industry experience.
- Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services.
- At least 2 years of hands-on experience with large-scale AWS EMR data processing, feature stores, and SageMaker production ML workflows.
- At least 1 year of experience in NLP or LLMs/AgenticAI and at least 3 years with other machine learning techniques; hands-on expertise in neural networks, Transformers, and fine-tuning.
Nice to have
- Financial services experience, particularly investment banking operations.
- Experience with AWS, Azure, Docker, Kubernetes, DataBricks, Snowflakes, or payments fraud.
Pay
USD 137,750.00-$195,000.00 base salary (New York, NY); USD 137,750.00-$195,000.00 base salary (Palo Alto, CA); USD 137,750.00-$195,000.00 base salary (Seattle, WA)
Tools
Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, AWS Cloud Services, AWS EMR, SageMaker, Python
AI focus
Applied AI/ML for payments, including fraud detection, NLP and LLM/AgenticAI, neural networks, Transformers, and production model development.
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