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BioRender is the world's first tool to help scientists create and share beautiful, professional scientific figures. Our mission is to accelerate the world's ability to learn, discover and communicate science.

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!

This AI figure generation team's mission is to accelerate our ability to return billions of hours to scientists by empowering them with tools for faster figure creation in the most highly trafficked part of our application: the core illustrator. 

As one of the founding **Machine Learning Engineer/Applied Scientist**, you will partner with product, design, and engineering to build the ML and AI system that enables scientists to effortlessly create beautiful and effective figures. We are looking for individuals at **senior and staff levels** who are product-driven and passionate about making AI innovations in areas such as; **Object Detection**, **Natural Language Processing, Computer Vision, Multi-Modal Models, Generative Models and Image Processing** to help improve the BioRender user experience! Excitement for applied research is a must as you combine rigorous thinking with practical tooling to meet these modeling challenges efficiently. 

**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

BioRender is hiring a Staff Machine Learning Engineer/Applied Scientist for AI Figure Generation to build ML and AI systems that enable scientists to create beautiful and effective figures.

Staff Machine Learning Engineer/Applied Scientist - AI Figure Generation

You can think of BioRender as the 'Figma/Canva for scientists', with a suite of web-based graphics communication products to empower scientists to create beautiful scientific visuals and presentations with ease.

BioRender, the 'Figma/Canva for scientists', is seeking a Senior/Staff Machine Learning Engineer to join their Search & Recommendation Team. This role is crucial in accelerating the company's ability to return billions of hours to scientists by empowering them with the most relevant content in the core illustrator.

As the first Machine Learning Engineer/Applied Scientist, you will:
- Partner with product, design, and engineering teams to build ML and AI systems
- Focus on areas such as Ranking, Natural Language Processing, Information Retrieval, Graph Learning, and Reinforcement Learning
- Design and execute multi-quarter ML initiatives
- Optimize search engine and recommendation systems
- Prototype, optimize, and productionize ML models
- Evaluate performance of systems and models end-to-end
- Influence the company's ML system and data infrastructure
- Collaborate with cross-functional teams
- Communicate with stakeholders and present data-driven insights

Requirements:
- 6+ years of extensive industry experience as an ML engineer
- Expert knowledge in areas like Information Retrieval, Recommender Systems, Learning-to-Rank, Large Language Models, NLP, Deep Learning, Transfer Learning, Multi-task Learning, Graph Neural Network, or Human-in-the-loop
- Experience with traditional keyword-based search and modern vector-based retrieval algorithms
- Proficiency in deep learning frameworks (PyTorch, TensorFlow)
- Strong data exploration, analysis, and feature engineering skills
- Excellent programming skills in Python, Scala, or Java
- Experience with operationalizing and scaling ML models in cloud ecosystems
- Cross-functional collaboration experience in agile environments

Nice-to-haves:
- Familiarity with state-of-the-art ML/AI research and publication track record
- Experience with Generative AI, Langchain, Transformer models
- End-to-end ML application building experience
- Scientific and research background

This role offers an exciting opportunity to work at the forefront of ML/AI applications in scientific visualization, making a significant impact on how scientists communicate their work. The position combines cutting-edge technology with practical applications in a fast-growing startup environment.

Senior/Staff Machine Learning Engineer position at BioRender, focusing on search and recommendation systems for scientific visualization tools.

BioRender Staff Software Engineer Software Engineering Jobs

Find BioRender Staff Software Engineer software engineering jobs