Code Metal · 4 months ago
Reinforcement Learning Engineer
Code Metal AI is a pioneering company focused on large language models and code generation. The role involves building and maintaining distributed training systems, designing scalable data pipelines, and driving innovation in reinforcement learning solutions.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
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
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
Qualification
Required
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
Preferred
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
Company
Code Metal
Code Metal delivers an AI-based development platform that transforms high-level code into edge-optimized, production-ready deployments.
Funding
Current Stage
Growth StageTotal Funding
$59.45MKey Investors
AccelShield CapitalJ2 Ventures
2025-11-12Series A· $36.5M
2025-06-26Series Unknown· $6.5M
2024-07-23Seed· $13M
Recent News
Sourcery
2025-11-21
2025-11-19
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