Machine Learning Engineer

BioRender; California (MO); Remote; USD 114,000 - 171,000; Full time

Job summary

Join a leading company as a Machine Learning Engineer, where you'll tackle unsolved problems in AI to enhance scientific communication. You'll develop innovative solutions that transform complex data into intuitive visuals, supporting scientists worldwide. This role offers the chance to work remotely and contribute to groundbreaking research.

Qualifications

• Deep technical expertise in machine learning.
• Passion for solving novel challenges.
• Enthusiasm for helping scientists communicate.

Responsibilities

• Develop structured, editable visuals representing scientific concepts.
• Design models to communicate complex biological concepts.
• Implement natural language-based editing of visuals.

Skills

Machine Learning

Computer Vision

Natural Language Processing

Education

Bachelor's Degree in a relevant field

Job description

Join to apply for the Machine Learning Engineer role at BioRender

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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.

What You'll Be Doing

• 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
  
  

Nice To Haves

• Scientific and research background
  
  

Why join us?

• We are mission-driven: we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. BioRender figures have appeared in more than 54,000 publications!
• BioRender is loved by millions! We have a world-class NPS and a community of loyal fans and users in 200+ countries!
• Our company is backed by top investors and accelerators like Y Combinator, and we are on a growth trajectory comparable to many top-performing SaaS companies
• We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere.
  
  

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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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