Our Machine Learning Team is at the forefront of this vision, automating figure generation from diverse user inputs like experimental protocols and research publications, and producing scientifically accurate, editable visuals using our library of icons and templates. We're looking for a
Machine Learning Engineer who is excited to tackle
hard, unsolved problems that go beyond off-the-shelf capabilities.
What you'll be doing :- Combine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts.
- Create story-driven scientific visuals: Design models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts.
- Leverage scientific understanding: Build technology that understands the nuances of biological research to produce scientifically accurate visuals.
- Enable chat-driven figure editing: Implement intuitive, natural language-based editing of visuals while preserving their scientific integrity.
Our ideal fit brings:- Deep technical expertise in machine learning
- A passion for solving novel challenges
- An enthusiasm for helping scientists communicate groundbreaking research faster and more effectively
Nice to haves:- Scientific and research background
