Machine Learning Engineer

BioRender is revolutionizing scientific communication by providing a platform for creating beautiful, 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.

Key Responsibilities:

• Develop structured, editable visuals that accurately represent scientific concepts
• Design models for effective communication of complex biological concepts
• Build technology understanding biological research nuances
• Implement natural language-based visual editing
• Design and execute AI/ML initiatives for Figure generation
• Optimize and productionize ML models
• Collaborate with cross-functional teams

Technical Requirements:

• Expert knowledge in Object Detection, Image Segmentation, Computer Vision, Deep Learning
• Experience with PyTorch and TensorFlow
• Distributed model training expertise
• Custom model architecture development
• Strong programming skills in Python, Scala, or Java
• Cloud ecosystem experience

Company Highlights:

• Remote-first culture with offices in Toronto
• Backed by Y Combinator and top investors
• Strong focus on diversity with 53% women in team
• Figures used in 16,000+ publications
• Users in 200+ countries
• Top quartile for profitability and revenue growth

Benefits include flexible work location, collaborative environment, and opportunity to impact scientific communication globally. The role offers a chance to work on cutting-edge ML applications while contributing to scientific advancement.