Tabulabio

Founding Machine Learning Scientist

San Francisco office

Sponsorship not specifiedDetected 120 days ago

PythonMachine LearningDeep LearningPyTorchA/B TestingResearchExperimental DesignCollaboration

About the role

We are looking for someone who is strong in modern machine learning, likes difficult technical problems, and wants to work on something where the connection between model quality and real-world impact is unusually direct.
That collaboration is central to how we work.
We also picked this problem deliberately.

Design and run model experiments against difficult biological data
Build better practices around experimentation, evaluation, and reproducibility
Contribute to technical decisions around model design, training, and research direction
Help a small team build an AI company whose output is not content or software alone, but real therapies for real patients
Tabula is building an AI-first therapeutics company.

Ability to reason clearly about model architectures, training, evaluation, and tradeoffs
Comfort working in an early-stage environment where the problems are hard and the path is still being defined
Ability to work closely with domain experts outside ML
We already have biology expertise in the company.
You have done substantial model development work, not just built products on top of model APIs
You are excited by the idea of using AI for something more concrete than the usual software treadmill

You will help shape how we think about research direction, model quality, experimentation standards, and the relationship between the computational and biological sides of the company.

This listing is sourced directly from Tabulabio's careers page and normalized into a canonical job model.