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
#J-18808-Ljbffr
* 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
#J-18808-Ljbffr
Machine Learning Engineer in arizona at Unknown Company
This position is listed as full time and onsite.