Reinforcement Learning Engineer (Clinical Decision Support)

Unknown; United States; Teletrabalho; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Unknown healthtech team builds clinical decision-support systems for public healthcare and seeks researchers to own reinforcement learning environments and evaluations ensuring reliable model behavior across multi-step clinical reasoning tasks. You will design reward functions, grading rubrics, and LLM judges, and run post-training experiments to identify failures and improve environments.

Proficiency in Python, PyTorch, and Transformers is required; experience with LLMs and reward modeling is a

Qualificações

• PhD in CS or ML, or at least 3 years of RL research or post-training experience.
• Experience building RL environments for post-training or agent evaluation.
• Proficient in Python, PyTorch, Transformers; familiar with LLMs and reward modeling.
• Strong evaluation and experimental design skills.

Responsabilidades

• Own reinforcement learning environments and evaluations for reliable model behavior.
• Design reward functions, grading rubrics, and LLM judges; test for reward hacking.
• Run post-training and agent evaluation experiments and improve environments based on failures.

Conhecimentos

Python

PyTorch

Transformers

LLMs

Reward modeling

Reinforcement learning

Formação académica

PhD in CS or ML

3+ years RL research experience

Ferramentas

Gym

Transformers library

Descrição da oferta de emprego

Unknown healthtech team builds clinical decision-support systems for public healthcare and seeks researchers to own reinforcement learning environments and evaluations ensuring reliable model behavior across multi-step clinical reasoning tasks. You will design reward functions, grading rubrics, and LLM judges, and run post-training experiments to identify failures and improve environments.

Proficiency in Python, PyTorch, and Transformers is required; experience with LLMs and reward modeling is a