Software Engineer, ML Research
Core
Building distributed training, inference, and RL infrastructure for frontier coding agents and models.
Role type
Research Engineer (ML Infrastructure)
Builds
Distributed training systems, inference pipelines, and RL infrastructure for coding agents
Domain
AI/ML, Large Language Models, Distributed Systems
Deliverable
production ML models
Required skills
distributed systems, infrastructure architecture, end-to-end system design, language model intuition, large-scale data processing
Preferred skills
RL training, coding agent development
Technologies
distributed training frameworks, RL libraries, data processing pipelines
Responsibilities
Build distributed training and inference systems, write libraries for large-scale data jobs, architect systems to convert user data into training data
Seniority
Mid-level, hands-on IC
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