Reinforcement Learning Scientist - Healthcare AI Innovator

Goliath Partners Inc.; United States; On-site; USD 350,000 - 400,000; Full time

Benefits offered by this job

Equity compensation

Unlimited AI tools budget

Job summary

Goliath Partners Inc. is seeking a reinforcement learning specialist to own the full RL loop and build evaluation and reward layers for frontier AI models using clinical and genomic context.

You will design and run post-training experiments with SFT, RLVR, RLHF/RLAIF, and reward modeling, building scalable pipelines and debugging large ML codebases to move ideas into working prototypes.

Qualifications

• 1+ years of reinforcement learning focused experience.
• Experience designing agent environments and evaluation harnesses.
• Experience with language models and post-training workflows (SFT, RLHF/RLAIF).
• Ability to assess data quality, signals, and clinical relevance.

Responsibilities

• Build comprehensive RL environments including tasks, actions, tools, verifiers, and evaluators.
• Run post-training experiments on LMs and agents using RL techniques.
• Train and evaluate multi-step agents on complex patient histories and data.
• Analyze failures to improve data, rewards and feedback signals.
• Move concepts to prototypes by debugging large ML codebases.

Skills

Reinforcement Learning

Agent Environments

Post-Training LM Evaluation

Reward Modeling

Clinical Data Understanding

Job description

Goliath Partners Inc. is seeking a reinforcement learning specialist to own the full RL loop and build evaluation and reward layers for frontier AI models using clinical and genomic context.

You will design and run post-training experiments with SFT, RLVR, RLHF/RLAIF, and reward modeling, building scalable pipelines and debugging large ML codebases to move ideas into working prototypes.