Machine Learning Engineer
Core
Designing RL environments, observation/action spaces, and reward signals to train agents in digital worlds.
Role type
Senior IC machine learning engineer (RL environments)
Builds
Novel RL training environments and infrastructure for agent training
Domain
AI research, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, LLM post-training (SFT, RLHF, PPO, DPO), RL frameworks (Gymnasium, dm_env), cloud/HPC experiment execution, evaluation methodology
Technologies
PyTorch, Gymnasium, dm_env, AWS, GCP, SLURM, Ray
Responsibilities
Design observation spaces, action spaces, reward signals, and success criteria for new RL environments; build infrastructure for world-scale RL training; run experiments at scale on cloud or HPC; design evaluation methodologies and benchmarks
Seniority
Senior, hands-on IC
