Machine Learning Engineer

At a leading scientific visualization company, we are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, we empower millions of scientists to create beautiful, accurate biological figures for communication within pharmaceutical companies and academic research.

Our vision is to make our platform the go-to place for understanding biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, we will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, bridging the gap between specialized knowledge domains.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

Why Join Us?

• We are mission-driven: we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. Our figures have appeared in more than 54,000 publications!
• Our platform is loved by millions! We have a world-class NPS and a community of loyal fans and users in over 200 countries!
• Our company is backed by top investors and accelerators and is on a growth trajectory comparable to many top-performing SaaS companies.
• We’re remote-first with team members across various locations, offering you the flexibility to work from anywhere.