Jobtailor
United States / Global
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United States / Global
Responsibilities
Build evaluation benchmarks and metrics
Build and iterate on agent harness, including context engineering, agent memory, tools, skills
Develop robust, reproducible training workflows from data ingestion and preprocessing through model checkpointing and deployment
Design RL environments and reward functions
Debug and optimize training runs
Conduct training runs to improve model capabilities for agentic applications
Requirements
BS in CS, EE, Math or related STEM field
5+ years software development background
2+ years of hands‑on experience in machine learning engineering, data science or ML research
Proficient in Python
Proficient in LLM architectures, optimization and model training dynamics
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Phoenix / Global
Phoenix / Global
Phoenix / Global
Phoenix / Global
Phoenix / Global
Phoenix / Global