JPMorgan Chase
Lead Machine Learning Engineer
$171K–$260K
New York, NY +1 · Full-time · Posted Sep 8, 2026
- Location
- New York, NY
Palo Alto, CA - Experience
- 6+ years with a BS, or 4+ years with an MS, in the stated fields.
- Education
- BS or MS in Computer Science or a related Engineering field.
About the job
Builds and maintains machine-learning platform pipelines and components for distributed model training, deployment, monitoring, and digital-channel solutions.
What you'll do
- Build, deploy, and maintain pipelines for distributed training on GPU-enabled clusters; optimize training throughput.
- Develop model-promotion and other MDLC pipelines, and integrate model monitoring and observability tools.
- Collaborate across teams to improve the ML platform and design solutions for digital channels.
What they ask for
- BS in Computer Science or a related Engineering field with 6+ years of experience, or MS in either field with 4+ years of experience.
- Strong experience in Python, cloud computing, and ML frameworks such as pytorch or tensorflow.
- Experience with model monitoring and observability tools, including monitoring model inputs, outputs, and feature statistics.
- Operational experience with big data/ML tools such as Ray and Spark, and training/inference systems such as Ray and vllm/SGLang; strong engineering fundamentals and enterprise system design.
Nice to have
- Experience with recommendation and personalization systems.
- CUDA experience; containers, orchestration, DAG orchestration, and data-storage knowledge.
Pay
New York,NY $171,000.00-$260,000.00 base salary; Palo Alto,CA $171,000.00-$260,000.00 base salary
Tools
Python, pytorch, tensorflow, Ray, Spark, vllm/SGLang, CUDA, Kubernetes
AI focus
Builds and operates ML training and inference pipelines and supports model deployment, monitoring, and iteration; modern LLM-based methods may be used where appropriate.
Model-written summary · the original posting is authoritative