ML Research Scientist - De Novo Design

We’re hiring a Senior / Principal ML Scientist to design and scale de novo design frameworks that guide molecular engineering campaigns through iterative design–build–test–learn (DBTL) cycles. Starting from a blank slate, you’ll first architect the company’s closed-loop optimization backbone—building the data and modeling foundations that connect experiments to these ML frameworks. Over time, you’ll help translate these prototypes into production pipelines that measurably improve experimental throughput and discovery success across multiple biomolecular and neuroengineering verticals.

• Build the scientific and engineering scaffolding in collaboration with data-engineering & MLOps for de novo design and closed-loop optimization, including data ingestion, ML modeling, and library design.
• Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints.