Research Engineer, Post-training

Medra is building Physical AI Scientists—robotic and scientific AI systems that work with biopharma partners to accelerate scientific breakthroughs. The Research Engineer, Post-training will define post-training methods, build data pipelines and evaluations, develop agentic systems, and integrate AI reasoning into real-world laboratory workflows.

Responsibilities:

• Define post-training recipes for our AI models — from deciding which problem matters and how to measure it, to engineering large data collections, to running ML experiments, to integrating post-trained models into production workflows
• Build and own the post-training data pipelines integrating both internal data and public data
• Create meaningful and trustworthy evaluations that tell us whether our models are improving scientific protocols and assay development
• Develop agentic systems with context management and custom tool calls to surface new scientific insights about experimental design in real lab environments
• Work closely with scientists, robotics engineers, and operation teams to bring reasoning capabilities into live experimental loops for leading biopharma partners
• Shape the engineering culture and technical direction of a new machine learning team that's redefining how life science R&D gets done