Research Engineer - Autonomous Lab AI Systems

medraai; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Medra is building Physical AI Scientists: robotic systems that work hand-in-hand with biopharma partners to enable scientific breakthroughs faster than ever before. In this role you will define post-training recipes for AI models, build data pipelines, and create evaluations that prove improvements in experimental workflows, all inside live lab environments.

You will collaborate with scientists and robotics engineers to shape the tech direction of a new ML team and push the boundaries of

Qualifications

• Experience building AI-driven workflows into real-world systems.
• Strong problem solving for debugging complex systems.
• Clear grasp of probability, statistics, and ML fundamentals.

Responsibilities

• Define post-training recipes for AI models—from problem selection to data collection and experiments.
• Build and own the post-training data pipelines integrating internal and public data.
• Create meaningful evaluations that show models improve scientific protocols and assay development.
• Develop agentic systems with context management and custom tool calls to surface new scientific insights.
• Collaborate with scientists, robotics engineers, and operation teams to bring reasoning into live lab loops.
• Shape the ML team's engineering culture and technical direction.

Skills

Python

PyTorch

JAX

LLMs

Reinforcement learning

Tools

TensorFlow

Ray

Job description

Medra is building Physical AI Scientists: robotic systems that work hand-in-hand with biopharma partners to enable scientific breakthroughs faster than ever before. In this role you will define post-training recipes for AI models, build data pipelines, and create evaluations that prove improvements in experimental workflows, all inside live lab environments.

You will collaborate with scientists and robotics engineers to shape the tech direction of a new ML team and push the boundaries of