About the role
Founding Research Engineer, Model Training
Location: New York City
Type: Full-time
About CellType
CellType is building foundation models and agent systems for biology.
We believe the next major advances in biotech AI will come from models trained to reason over biological data, experiments, and translational outcomes, not from lightweight wrappers around generic models. We work with pharma and biotech partners on problems such as preclinical-to-clinical translation, response prediction, biomarker discovery, and scientific reasoning across complex biological datasets. Our core technology was originally developed at Yale in collaboration with Google DeepMind, and has been published at top ML venues including ICML.
We are building the core intelligence layer for biology.
About the role
We are hiring a Founding Research Engineer to build and scale the systems that improve our models.
This role sits at the boundary of research and engineering. You will work on training, post-training, evaluation, performance optimization, and the systems needed to support all of that. You should be excited by both novel model development and the operational reality of making training systems run reliably.
What you'll do
- Build and improve training and post-training systems for biological foundation models and agentic model workflows
- Design and run experiments across supervised fine-tuning, reinforcement learning, tool use, evaluation, and model behavior optimization
- Build and maintain distributed RL and post-training infrastructure
- Improve reliability of rollout, evaluation, and reward pipelines
- Own critical parts of the model training stack, including performance, reliability, observability, and debugging
- Investigate and resolve issues across the full stack, from training dynamics and evaluation infrastructure to distributed systems and hardware bottlenecks
