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BioRender is seeking a Machine Learning Engineer to advance automatic figure generation from experiments and publications, delivering editable SVG/JSON visuals while preserving scientific accuracy.
You will combine computer vision and code generation, design story-driven visuals, and enable chat‑driven figure editing. This is a mission‑driven, remote‑first role with teams across the US and Canada, focused on accelerating scientific communication.
At BioRender, we’re on a mission to accelerate the world’s ability to learn, discover, and communicate science — transforming how knowledge is shared and making science open, collaborative, and easily understandable by all.
We’re shaping the future of science communication and are looking for talented individuals to help bring this vision to life!
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.
BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. By submitting this application, you consent to the processing of your personal data by BioRender in accordance with GDPR and our Privacy Policy.