ML Engineer, Digital Intelligence – LLMs in Finance

JPMorgan Chase & Co.; Palo Alto (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in Palo Alto seeks a Machine Learning Engineer-Digital Intelligence to advance LLM-based research and scalable production systems. You will work with a high-caliber team to optimize model performance and reliability in financial data environments.

The role focuses on post-training optimization, interpretability, and deploying novel ML ideas at scale, bridging research and engineering in a fast-paced setting.

Qualifications

• Master’s degree with 2+ years or Bachelor’s with 4+ years in Computer Science with ML/LLM/NLP background.
• Deep LLM and Transformer expertise; strong attention mechanisms and multi-modal handling.
• PyTorch proficiency at scale with distributed training (FSDP/DeepSpeed) and memory optimization.

Responsibilities

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

Skills

LLM/NLP expertise

Transformer models

PyTorch

Memory optimization

Production systems

Financial data

Education

Master’s degree in CS

Bachelor’s degree in CS

Tools

FSDP

DeepSpeed

Job description

JPMorgan Chase & Co. in Palo Alto seeks a Machine Learning Engineer-Digital Intelligence to advance LLM-based research and scalable production systems. You will work with a high-caliber team to optimize model performance and reliability in financial data environments.

The role focuses on post-training optimization, interpretability, and deploying novel ML ideas at scale, bridging research and engineering in a fast-paced setting.