About this role

Conduct applied research on real healthcare data, focused on explainability, reinforcement learning, and long-context information retrieval.
Move quickly from concept to deployment: designing experiments, training models at scale, and collaborating with ML Ops and Product teams to turn ideas into measurable user impact.
Stay close to the literature and close to production, coding your own experiments end-to-end.

You have a PhD in computer science / informatics and at least 3 years of industry experience (will consider postdocs).
Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX
strong preference for applied research which has made its way into production
Research expertise in one or more of: interpretability, reinforcement learning, retrieval-augmented generation, or long-context information retrieval
Comfortable running large-scale training and evaluation on distributed infrastructure (e.g., Ray, FSDP, Lightning)
Track record publications at top ML venues (e.g., NeurIPS, ICML, EMNLP, MLHC, CHIL)

Research Scientist

Key skills