Senior ML Engineer - LLMs & Production AI for Finance

JPMorgan Chase & Co.; Palo Alto (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Machine Learning Engineer in the Digital Intelligence team in Palo Alto to advance large language modeling, optimization, and production-ready ML systems at scale.

You will work with software engineers and deep learning experts to turn research into real-world products, focusing on reliability, security, and performance in fast-paced environments.

Qualifications

• PhD with 2+ years or Master’s with 4+ in CS with ML/LLM/NLP.
• Deep LLM and Transformer expertise with multi-modal data handling.
• PyTorch at scale with distributed training (FSDP/DeepSpeed).
• Foundation model pre-training and token/vocabulary design for complex data.
• Strong software engineering for production-ready systems.
• Experience with financial data and recommendation systems.

Responsibilities

• Research and prototype next-generation architectures for structured and unstructured data
• Develop novel pre-training objectives tailored to financial event sequences and heterogeneous profile data
• Implement research ideas in production-quality code
• Mentor engineers on ML best practices; translate research advances into deployable systems
• Optimize training throughput for large data sources
• Collaborate with other teams to design solutions for product use cases.

Skills

LLM/NLP expertise

PyTorch at scale

Distributed training

Foundation model training

Software engineering

Education

PhD or MSc in Computer Science

Tools

PyTorch

DeepSpeed

FSDP

Job description

JPMorgan Chase & Co. is seeking a Senior Machine Learning Engineer in the Digital Intelligence team in Palo Alto to advance large language modeling, optimization, and production-ready ML systems at scale.

You will work with software engineers and deep learning experts to turn research into real-world products, focusing on reliability, security, and performance in fast-paced environments.