Machine Learning Engineer

BioRender is revolutionizing scientific communication by enabling millions of scientists to create accurate biological figures. As a Machine Learning Engineer, you'll be at the forefront of automating figure generation from diverse inputs like experimental protocols and research publications. The role combines computer vision, machine learning, and scientific understanding to produce accurate, editable visuals using BioRender's library of icons and templates.

The position offers unique challenges in translating complex biological concepts into clear, intuitive visuals. You'll work on developing models that understand scientific nuances and implement natural language-based editing while maintaining scientific integrity. BioRender's figures have appeared in over 54,000 publications, demonstrating their significant impact on scientific communication.

The company, backed by Y Combinator and other top investors, operates remotely across Canada and the U.S., offering flexibility and work-life balance. They maintain a world-class NPS and serve a community of loyal users in 200+ countries. This role is perfect for someone passionate about machine learning who wants to contribute to accelerating scientific discovery through improved visual communication.

As part of a mission-driven team, you'll help bridge the gap between specialized knowledge domains and contribute to BioRender's vision of becoming the primary platform where humans read and understand biology. The company values diversity and maintains an inclusive environment, making it an excellent opportunity for those looking to make a meaningful impact in scientific communication while working with cutting-edge AI technology.