About this role

Conduct applied research on real healthcare data, focused on explainability, reinforcement learning, and long-context information retrieval
Design experiments, training models at scale, and collaborate with ML Ops and Product teams
Move quickly from concept to deployment
Code own experiments end-to-end

PhD in computer science / informatics
At least 3 years of industry experience (will consider postdocs)
Experience designing novel architectures and pipelines in PyTorch/TensorFlow/JAX
Research expertise in 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