Medra
Research Engineer, Post-training
San Francisco
Sponsorship not specifiedDetected 21 days ago
PythonMachine LearningDeep LearningPyTorchData EngineeringLLMsAgentic AIStatisticsRoboticsResearchExperimental DesignProblem Solving
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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 like learning new things and then sharing our new knowledge with each other. - Our team is opinionated and straightforward.
Responsibilities
- 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
- Practical experience building AI-driven workflows into the real world
- 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.
Benefits
- Shape the engineering culture and technical direction of a new machine learning team that's redefining how life science R&D gets done
- 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
Company info
- 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 quickly and empathetically.
- 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
- Let's talk if you have:
- 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
This listing is sourced directly from Medra's careers page and normalized into a canonical job model.