JPMorgan Chase
Executive Director Machine Learning Engineer-MLOps
$223K–$325K
Palo Alto, CA +1 · Director · Full-time · Posted Oct 22, 2026
- Location
- Palo Alto, CA
New York, NY - Experience
- 10+ years with a BS, or 6+ years with an MS.
- Education
- BS or MS in Computer Science or a related Engineering field.
About the job
Builds and operates scalable MLOps infrastructure for recommendation and personalization products, including distributed training, model serving, and monitoring.
What you'll do
- Build and maintain distributed GPU training pipelines and high-volume real-time and batch inference systems.
- Deploy quantized open-weight LLMs and optimize vector databases for AI applications.
- Create monitoring and observability pipelines, and collaborate with engineering and product teams on scalable infrastructure.
What they ask for
- BS in Computer Science or a related Engineering field with 10+ years of experience, or MS in either field with 6+ years of experience.
- Solid knowledge and extensive experience in Python or in cloud computing and AWS.
- Understanding of LLM quantization techniques and Transformer models, including challenges in serving large models.
- Solid understanding of ML training, including reinforcement learning algorithms such as GRPO and DAPO.
Nice to have
- Experience with recommendation and personalization systems.
- Experience with CUDA, containers and orchestration systems, Ray, vLLM, RL libraries, or databases.
Pay
USD $223,000.00-$325,000.00 base salary (Palo Alto, CA); USD $223,000.00-$325,000.00 base salary (New York, NY)
Tools
Python, AWS, PTQ, AWQ, CUDA, Kubernetes, ECS, Ray
AI focus
Implements fine-tuning and reinforcement learning, trains and serves ML models, deploys quantized open-weight LLMs, and supports recommendation and personalization applications.
Model-written summary · the original posting is authoritative