BioRender is the world's first tool to help scientists create and share beautiful, professional scientific figures.

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 Machine Learning Team is at the forefront of our vision 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.

As a Machine Learning Engineer, you will:
- Develop structured, editable visuals (SVG/JSON) that accurately represent scientific concepts
- Design models that capture appropriate detail, layout, and structure to communicate complex biological concepts
- Build technology that understands biological research nuances
- Implement natural language-based editing of visuals while preserving scientific integrity

We offer:
- Mission-driven work improving scientific communication
- World-class NPS and loyal user community
- Remote-first culture with flexibility
- Top quartile profitability and growth
- Backing from Y Combinator and leading investors
- Inclusive environment with strong female leadership
- Comprehensive benefits and competitive compensation

Join us in revolutionizing how scientists communicate and accelerate discoveries through visual communication technology.

Senior Machine Learning Engineer role at BioRender focused on developing AI systems for scientific visual communication

Machine Learning Engineer

Figma/Canva for scientists, providing web-based graphics communication products to help scientists create beautiful scientific visuals and presentations.

At BioRender, our mission is to accelerate the world's ability to learn, discover and communicate science. We are passionate about democratizing science communication to accelerate scientific discovery and understanding. As a Staff Machine Learning Engineer/Applied Scientist, you'll be part of the founding AI figure generation team.

The role focuses on building ML and AI systems that enable scientists to effortlessly create beautiful and effective figures. You'll work at the intersection of Object Detection, Natural Language Processing, Computer Vision, Multi-Modal Models, and Generative Models to enhance the BioRender user experience.

Key Responsibilities:
- Lead the design and execution of AI/ML initiatives that deliver measurable impact
- Build and optimize machine learning models for figure generation and design understanding
- Extract user intent and context to deliver personalized figures
- Prototype and productionize ML models
- Evaluate and optimize system performance end-to-end
- Shape the company's ML infrastructure
- Collaborate across functions with product, design, and engineering teams

Technical Requirements:
- Expert knowledge in computer vision, deep learning, and ML systems
- Hands-on experience with PyTorch and TensorFlow
- Distributed model training expertise
- Custom model architecture development
- Strong programming skills in Python, Scala, or Java
- Experience with ML operations and scaling
- Track record of cross-functional collaboration

Nice to Have:
- Research publication track record
- Experience with Generative AI and Transformer models
- End-to-end ML application development
- Scientific background

BioRender offers a unique opportunity to work on cutting-edge AI applications in scientific visualization. You'll be part of a team returning billions of hours to scientists by making figure creation faster and more efficient. The role combines applied research with practical implementation, requiring both rigorous thinking and pragmatic engineering approaches.

Join us in democratizing science communication and accelerating scientific discovery. You'll work with a talented team of 205+ people, backed by Y Combinator (W18 batch), and help shape the future of scientific visualization tools.

Staff ML Engineer role at BioRender focusing on AI figure generation, requiring expertise in computer vision, deep learning, and ML systems.

Staff Machine Learning Engineer/Applied Scientist - AI Figure Generation

Web-based graphics communication platform helping scientists create and share professional scientific figures

BioRender is seeking their first Machine Learning Engineer/Applied Scientist to join the Search & Recommendation Team. This role will focus on accelerating scientists' ability to create content by building ML and AI systems that enable effortless creation of beautiful and effective figures.

The ideal candidate will partner with product, design, and engineering teams to drive ML innovations in areas including Ranking, Natural Language Processing, Information Retrieval, Graph Learning, and Reinforcement Learning. They will be responsible for designing and executing multi-quarter ML initiatives, optimizing search and recommendation systems, and building models to improve query understanding and user intent extraction.

Key responsibilities include:
- Leading the development and optimization of search and recommendation systems
- Prototyping and productionizing ML models
- Evaluating end-to-end system performance
- Influencing ML infrastructure decisions
- Cross-functional collaboration with product managers, scientists, and engineers
- Communicating technical insights and recommendations

Required qualifications:
- 6+ years of ML engineering experience with expertise in areas like Information Retrieval, Recommender Systems, LLMs, NLP, Deep Learning
- Experience with search technologies including vector-based retrieval and Elasticsearch
- Proficiency with PyTorch, TensorFlow, and programming languages like Python
- Strong background in data analysis and feature engineering
- Experience deploying ML models in cloud environments
- Track record of cross-functional collaboration

The role offers exposure to cutting-edge ML applications in scientific visualization and the opportunity to shape the technical direction of a fast-growing platform used by scientists worldwide. The position includes competitive compensation and the chance to work with a mission-driven team focused on accelerating scientific discovery through better communication tools.

BioRender is hiring a Senior/Staff ML Engineer to lead search and recommendation systems development, focusing on ML innovations in ranking, NLP, and information retrieval.

Senior/Staff Machine Learning Engineer (Search & Recs)

Web-based graphics communication platform helping scientists create and share professional scientific figures and presentations.

BioRender is revolutionizing scientific communication as the 'Figma/Canva for scientists'. Founded in 2018, the company has grown to a team of 205 members and has established itself as the premier platform for creating and sharing professional scientific visuals. The platform offers web-based graphics communication products specifically designed for the scientific community, making it easier than ever for researchers and scientists to create beautiful, professional-quality figures and presentations.

The company's mission is deeply rooted in accelerating scientific discovery and understanding through democratized science communication. As a staff-level machine learning engineer at BioRender, you'll be at the forefront of developing cutting-edge AI solutions for scientific figure generation and improving search and recommendation systems. The role offers competitive compensation ranging from $150K to $300K, depending on the specific position and experience level.

BioRender's unique position at the intersection of scientific visualization and modern web technology makes it an exciting place for engineers who want to make a meaningful impact. The company offers remote work opportunities across the US and Canada, providing flexibility while maintaining a strong collaborative culture. With backing from Y Combinator (W18 batch) and leadership from experienced founders including former National Geographic illustrators, BioRender represents a unique opportunity to work on technology that directly accelerates scientific progress.

The company's growth and success are driven by its commitment to empowering the scientific community with better tools for visual communication. As part of the team, you'll work on challenging problems in machine learning, AI, and scientific visualization while contributing to a platform that thousands of scientists rely on daily. If you're passionate about combining cutting-edge technology with scientific advancement, BioRender offers an exceptional opportunity to make a lasting impact on how science is communicated and understood globally.

Staff Machine Learning Engineer position at BioRender, developing AI solutions for scientific visualization platform

BioRender Engineering Jobs

BioRender is the world's first tool to help scientists create and share beautiful, professional scientific figures.