Scientists automate protocols with Medra’s autonomous robotic system. Backed by Lux and Menlo.
About the role
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 Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Practical experience building AI-driven workflows into the real world
- Strong problem solving skills for debugging complex systems
- A clear grasp of probability, statistics, and ML fundamentals
- Ability to own the post-training stack end-to-end: data pipelines, harnesses, RL environments, and agentic evaluations, even when things are loosely defined
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, JAX)
- Experience with LLMs, post-training, reinforcement learning, or agentic systems
More about this role
If you want to shape the future of science, come build with us. Medra is building Physical AI Scientists: robotic systems that work hand-in-hand with leading biopharma partners to enable scientific breakthroughs faster than ever before.
🤖 Physical AI that can operate scientific instruments with human-level dexterity.
🧪 Scientific AI that can analyze results, reason about next steps, and close the loop autonomously.
We shipped our first production system over a year ago, recently raised a $52M Series A, and are opening one of the largest autonomous labs in the US. We're a small, ambitious team and you'd be joining early.
We’re a team of passionate, mission-driven engineers from companies like Tesla, Amazon, SpaceX, and Neuralink. We’re collaborative and love moving fast, both with our product and on team trips skiing or go-karting!
As a team, we love nerding out about engineering and robotics — plus other topics like race cars or cooking. We like learning new things and then sharing our new knowledge with each other.
Our team is opinionated and straightforward. We don’t mind intense discussions about design tradeoffs. If we have arguments or miscommunication, we resolve conflicts...
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