JPMorgan Chase
Applied AI ML Senior Associate -AI Agents & Agentic Systems
$138K–$195K
New York, NY +2 · Senior · Full-time · Posted Sep 18, 2026
- Location
- New York, NY
Palo Alto, CA
Seattle, WA - Experience
- At least 2 years of applied machine learning experience; at least 4 years with a programming language; at least 2 years applying data science or ML to business problems.
- Education
- MS and/or PhD in Computer Science, Machine Learning, or a related field.
About the job
Develops and productionizes machine learning and generative AI solutions, including agentic systems, and integrates them into a scalable platform.
What you'll do
- Evaluate, benchmark, and tune AI and agent techniques, including LLMs.
- Write Python code for experimentation and production-ready solutions, partnering with engineering teams.
- Integrate generative AI into the Agent Platform and improve system accuracy and performance.
What they ask for
- MS and/or PhD in Computer Science, Machine Learning, or a related field.
- At least 2 years of applied machine learning experience and 2 years applying data science or ML to business problems.
- At least 4 years of experience with a programming language such as Python, Java, or C/C++; intermediate Python is required.
- Background in NLP and LLMs; hands-on ML and deep learning experience; expertise in PyTorch or TensorFlow.
Nice to have
- Experience with agentic development frameworks and LLM/agent evaluation or benchmarking.
- Experience deploying ML models on AWS, building MLOps pipelines, or conducting ML experimentation at scale.
Pay
New York,NY $137,750.00-$195,000.00 USD base salary; Palo Alto,CA $137,750.00-$195,000.00 USD base salary; Seattle,WA $137,750.00-$195,000.00 USD base salary
Tools
Python, Java, C/C++, PyTorch, TensorFlow, AWS, Sagemaker, EKS
AI focus
Applied generative AI and agentic systems, including LLMs, agent techniques, model evaluation, and platform integration.
Model-written summary · the original posting is authoritative