Machine Learning Engineer at BioRender

At BioRender, our mission is to accelerate the world’s ability to learn, discover and communicate science. We are passionate about democratizing science communication in order to accelerate scientific discovery and understanding. We're looking for amazing people to help create the world’s go-to-place and platform where science is communicated. Come join us!

At BioRender, we are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, BioRender empowers millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research.

Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains.

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.

You will:

• 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. Our ideal fit brings:

• Deep technical expertise in machine learning

• A passion for solving novel challenges

• An enthusiasm for helping scientists communicate groundbreaking research faster and more effectively You will:

• Design and execute multi-quarter AI/ML initiatives that deliver measurable technical, organizational, or business impacts in our Figure generation domain.

• Oversee the performance and continued optimization of the figure generation model system: build machine learning models to improve design understanding, and extract user intent and context to deliver accurate, relevant, and personalized figures for users.

• Prototype, optimize, and productionize ML models that help deliver key results.

• Evaluate performance of figure generation systems and models end to end.

• Influence the company’s ML system and data infrastructure to power figure creation to make it faster for our users to create communication materials.

• Collaborate with product managers, scientists, full-stack and platform engineers, and designers on product teams.

• Communicate with business, data, and engineering counterparts to clarify requirements, provide feedback, and share discovered data stories with stats, charts, and formal presentations. Propose recommendations to maximize business impact. Our ideal fit brings:

• Extensive industry experience as an ML engineer with expert level knowledge in one or more areas: Object Detection and Image Segmentation, Computer Vision, Deep Learning, Transfer Learning, VLM, Multi-Modal or Generative model or similar.

• Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow.

• Experience with distributed model training

• Experience developing custom model architectures.

• Excellent programming skills with one or more of the following languages: python, scala, java.

• Expertise with operationalizing, monitoring, and scaling machine learning models and pipelines in cloud ecosystems.

• Previous experience working cross-functionally with product and engineers to deliver solutions with complex requirements in an agile environment. Nice to haves:

• Familiar with the state-of-the-art ML/AI research with publication track record

• Experience with Generative AI, Transformer models or related

• You have experience building a variety of ML applications end to end

• Scientific and research background We're interested in what you know, not how you learned it. You might demonstrate any of these qualifications through any mix of, for example, academic degrees, professional experience, academic research, and open source contributions. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about the role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and are enthusiastic about making software that improves scientific communication, we want to hear from you.

Why Join Us?

• We are mission-driven, and work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery: BioRender figures have appeared in more than 16,000 publications!
• It’s a product that users love! We have a world-class NPS and a community of loyal fans. Check out our Testimonials page to see what our customers are saying about us: https://biorender.com/testimonials/
• We are in the top quartile for profitability and year-over-year revenue growth, with users in 200+ countries.
• BioRender is an equal opportunity employer, and an inclusive hiring process and work environment is a part of our DNA.
• We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere.
• We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator, Malala Fund founders, and Fifty Years VC.
• We’re proud that women make up 2 of 3 co-founders, 53% of our team, and 37% of leadership. This representation continues to grow and we are hiring!
• We are committed to building a warm, inclusive, and diverse environment. Check out how we make sure our employees come first. Check out our candidate resource - Engineering, Product & Design at BioRender! 

You can also read more about the BioRender interview process and FAQs here!

Check out what it's like to work at BioRender in Canada and the US!

BioRender has revolutionized how 1.5M+ scientists communicate their research all over the world. The app provides personalized content and creative web-based tools to our users. These powerful tools enable scientists to create beautiful visualizations easily, easy-to-read posters for conferences, and informative slide show presentations, all while giving and receiving feedback in real-time.