Machine Learning Engineer

BioRender is revolutionizing scientific communication by accelerating the world's ability to discover, learn, and communicate science through visuals. As a Machine Learning Engineer, you'll join a forward-thinking team focused on automating figure generation from diverse inputs like experimental protocols and research publications.

The role combines cutting-edge machine learning with scientific visualization, requiring expertise in computer vision and code generation to create structured, editable visuals that accurately represent complex scientific concepts. You'll be working on challenging problems that go beyond standard solutions, developing models that understand and communicate biological research effectively.

BioRender has an impressive track record, with their figures appearing in over 54,000 publications and serving millions of scientists across 200+ countries. The company maintains a world-class NPS and is backed by prestigious investors including Y Combinator, showing strong growth trajectory comparable to top-performing SaaS companies.

As a remote-first company with team members across Canada and the U.S., BioRender offers the flexibility to work from anywhere while contributing to meaningful scientific advancement. The company is committed to diversity and inclusion, providing an equal opportunity workplace for all employees.

The ideal candidate will bring deep technical expertise in machine learning, coupled with a passion for solving novel challenges and helping scientists communicate groundbreaking research more effectively. A scientific background is considered a plus, as the role involves understanding and translating complex biological concepts into visual representations.