Senior AI Engineer (REMOTE)
Core
Builds, trains, and evaluates machine learning models combining knowledge engineering, data analysis, and applied reinforcement learning for language models.
Role type
Senior hands-on individual contributor AI engineer (reinforcement learning & LLMs)
Builds
Production language models, RL environments, reward functions, and evaluation frameworks
Domain
Healthcare data / highly regulated industry / Knowledge representation
Deliverable
production ML models
Required skills
Reinforcement learning (PPO, DPO, GRPO), Python, PyTorch, Hugging Face, parameter-efficient fine-tuning, LLM agent design, evaluation framework design, statistical analysis, knowledge engineering, technical writing
Preferred skills
Healthcare data experience, schema-constrained output training, advanced reward design, knowledge graphs/ontologies, synthetic data generation, publications in RL/LLM
Technologies
Python, PyTorch, Hugging Face, PPO, DPO, GRPO
Responsibilities
Design RL environments and reward functions; Train and fine-tune language models; Create and curate training/evaluation datasets; Analyze datasets for quality and consistency; Manage experiments with versioning and tracking; Design evaluation metrics and benchmarks; Document results and present findings to stakeholders
Seniority
Senior, hands-on IC
