BioRender
Posted 77 days agoVerified live 7h ago
Machine Learning Engineer
Brief overview
Remote
5 H-1B approvalsDept. of Labor
Machine learningPassion for solving novel challengesEnthusiasm for helping scientists communicate
About the company
BioRenderbiorender.com
BioRender develops a science visualization platform for the pharmaceutical and life sciences industries.
Visa sponsorship history
1 year sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.5H-1B approved
100%approval rate
1new H-1B hires
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20242
20253
Job description
Summary
BioRender is on a mission to accelerate the world’s ability to learn, discover, and communicate science. They are seeking a Machine Learning Engineer to develop structured, editable visuals that accurately represent scientific concepts and leverage technology to enhance scientific communication.
Responsibilities
- 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
Skills
- Deep technical expertise in machine learning
- A passion for solving novel challenges
- An enthusiasm for helping scientists communicate groundbreaking research faster and more effectively
- Scientific and research background
Qualifications
Must Haves
- 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
Benefits
- We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere.
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