Medra
Research Engineer, Post-training
$170K–$350K
San Francisco · On-site · Full-time · Posted Oct 1, 2026
About the job
Develops post-trained AI models and agentic systems that support scientific protocols, assay development, and experimental design in real laboratory workflows.
What you'll do
- Define model post-training recipes, build data pipelines, run experiments, and integrate models into production workflows.
- Create evaluations of model performance in scientific protocols and assay development.
- Develop agentic systems and collaborate with scientists, robotics engineers, and operations teams to bring AI reasoning into live experiments.
What they ask for
- Practical experience building AI-driven workflows for real-world use.
- Strong problem-solving skills and a grasp of probability, statistics, and ML fundamentals.
- Ability to own post-training systems end-to-end, including data pipelines, harnesses, RL environments, and agentic evaluations.
- Proficiency in Python and familiarity with at least one deep learning framework; experience with LLMs, post-training, reinforcement learning, or agentic systems.
Pay
USD $170K – $350K base salary
Tools
Python, PyTorch, JAX
AI focus
Post-training AI models, reinforcement learning, and agentic systems for scientific reasoning, experimental design, protocol improvement, and assay development.
Model-written summary · the original posting is authoritative