Find BioRender Staff Software Engineer software engineering jobs

BioRender, the 'Figma/Canva for scientists', is seeking a Senior/Staff Machine Learning Engineer to join their Search & Recommendation Team. This is a pivotal role as the first ML Engineer/Applied Scientist on the team, focused on accelerating scientists' ability to create beautiful and effective figures through advanced ML and AI systems.

The position offers an opportunity to work on cutting-edge ML innovations in areas including Ranking, Natural Language Processing, Information Retrieval, Graph Learning, and Reinforcement Learning. The successful candidate will be instrumental in building and optimizing search and recommendation systems that directly impact the core illustrator, the most heavily used part of the BioRender application.

Founded in 2018 and based in Toronto, BioRender has grown to a team of 205 people, demonstrating significant scale and stability. The company's mission is to accelerate the world's ability to learn, discover, and communicate science by democratizing science communication.

The role combines both technical depth and business impact, requiring expertise in modern ML technologies while maintaining a strong product focus. Key responsibilities include designing multi-quarter ML initiatives, overseeing search engine optimization, and collaborating across teams to deliver measurable results.

The ideal candidate will bring 6+ years of experience, with deep expertise in ML engineering, particularly in information retrieval and recommender systems. They should be comfortable with both traditional keyword-based search and modern vector-based retrieval algorithms, along with major deep learning frameworks.

This remote position offers competitive compensation ranging from $160K to $256K, reflecting the senior level and strategic importance of the role. The opportunity to work with cutting-edge ML technologies while contributing to scientific advancement makes this an exciting position for experienced ML engineers passionate about making a meaningful impact in scientific communication.

Senior/Staff ML Engineer position at BioRender focusing on search and recommendation systems

Senior/Staff Machine Learning Engineer (Search & Recs)

Figma/Canva for scientists, focused on democratizing science communication to accelerate scientific discovery and understanding.

BioRender is revolutionizing scientific communication by creating a platform that serves as the 'Figma/Canva for scientists'. Founded in 2018 and headquartered in Toronto, Canada, BioRender has grown to a team of 205 people dedicated to accelerating the world's ability to learn, discover and communicate science. The platform democratizes science communication, making it more accessible and efficient for researchers and scientists worldwide.

As a Machine Learning Engineer at BioRender, you'll be part of a mission-driven team working on cutting-edge technology that bridges the gap between scientific visualization and modern software tools. You'll contribute to developing sophisticated ML solutions that help scientists communicate their research more effectively and accelerate scientific discovery.

The role offers competitive compensation and the flexibility of remote work for candidates in the US or Canada. You'll be joining a well-funded company with strong leadership, including CEO Shiz Aoki and fellow founders Ryan Marien and Katya Shteyn. The company's focus on scientific advancement and commitment to innovation makes it an ideal place for those passionate about making a meaningful impact in the scientific community.

Working at BioRender means being part of a team that's creating the world's go-to platform for scientific communication, with the potential to influence how research is shared and understood globally. The company's growth and dedication to its mission provide excellent opportunities for professional development and the chance to work on challenging problems at the intersection of science and technology.

Machine Learning Engineer role at BioRender, developing AI solutions for scientific visualization platform with competitive compensation and remote work options.

Machine Learning Engineer

Figma/Canva for scientists, helping accelerate scientific discovery through visual communication

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.

Senior Machine Learning Engineer position at BioRender, focusing on developing AI solutions for scientific visual communication

BioRender is revolutionizing scientific communication by creating a platform that helps scientists create beautiful, accurate biological figures. As a Machine Learning Engineer, you'll join a mission-driven company that's already impacting scientific discovery, with their figures appearing in over 16,000 publications.

The role combines cutting-edge machine learning with scientific visualization, focusing on developing systems that can translate complex biological concepts into clear, accurate visuals. You'll work on challenging problems that go beyond standard ML solutions, including computer vision, code generation, and natural language processing for figure editing.

The ideal candidate brings deep ML expertise and a passion for scientific communication. You'll need extensive experience with modern ML frameworks, distributed training, and custom model architectures. The role offers a unique opportunity to work at the intersection of AI and scientific visualization, with direct impact on how research is communicated globally.

BioRender offers a remote-first environment with a physical office in Toronto, competitive compensation ($200K-$300K), and the chance to work with a diverse team where 53% are women, including two of three co-founders. The company is backed by prestigious investors including Y Combinator and shows strong profitability and growth.

This is an opportunity to join a successful, mission-driven company that's making scientific communication more accessible and efficient. You'll work with a collaborative team, have the flexibility to work remotely, and contribute to accelerating scientific discovery through better visual communication tools. The role combines technical challenges with meaningful impact, making it ideal for an experienced ML engineer who wants to make a difference in scientific research and communication.

Senior Machine Learning Engineer role at BioRender, focusing on developing AI-powered scientific visualization tools

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.

BioRender Staff Software Engineer Software Engineering Jobs

Find BioRender Staff Software Engineer software engineering jobs