Reinforcement Learning Engineer

Code Metal • Full-time • Remote (Boston, MA, US) • 2d ago

At Code Metal AI, you'll be part of a world-class team with talent from MIT, OpenAI and other top companies, focused on pioneering work in large language models (LLMs) and code generation. Our projects directly involve leading chip manufacturers, applying advanced AI to solve meaningful, practical challenges with real-world impact.

This role bridges two critical areas:

Production

Build and maintain robust distributed training systems using PyTorch (2+ years experience required)
Design and implement scalable data curation and quality assurance pipelines to ensure top-tier training datasets
Develop orchestration tools that manage complex workflows across large-scale AI model training and evaluation

Research

Drive innovation by developing evaluation frameworks and reinforcement learning solutions, including recent advancements in Reinforcement Learning with Human Feedback (RLHF)
Engage with frontier research through open-source projects and potential publications, applying RLHF to Large Language Models (LLMs), ideally focusing on code generation tasks

Requirements

2+ years experience in distributed training, preferably with PyTorch
Strong background in reinforcement learning, with recent RLHF experience highly preferred
Proven ability to build data curation and quality assurance pipelines
Experience with evaluation framework development
Ideally, experience across both data pipeline and orchestration sides
Eligible for TS/SCI clearance.

Nice to have:

Contributions to open-source AI or ML projects
Published work or demonstrable research experience in related fields
Hands-on experience applying RLHF to LLMs, especially for code generation
Experience with large-scale synthetic data generation

Benefits

Health care plan with 100% premium coverage, including medical, dental, and vision
401k with 5% matching
Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)
Flexible hybrid work arrangement
Relocation assistance for qualifying employees