over 1 year ago
Remote, CanadaSenior
Responsibilities
- Collaborate with product managers, designers, and data scientists to define an AI-focused product roadmap.
- Rapidly prototype and productionize AI-driven features involving natural-language processing, multimodal processing, and intelligent recommendations.
- Experiment with LLMs, few-shot learning, and RAG, and share AI insights across the engineering organization.
- Own and improve key components of the codebase, ensuring traditional and AI-powered features are robust, scalable, and maintainable.
- Develop creative solutions in ambiguous environments and mentor peers on AI best practices.
Requirements
- Have 7+ years of full-stack development experience building products from concept through production.
- Demonstrate proficiency with modern JavaScript frameworks such as ReactJS, NodeJS/ExpressJS, and cloud infrastructure such as AWS.
- Have experience with Python and ML libraries such as PyTorch or TensorFlow.
- Have experience using modern LLM tools to develop, deploy, monitor, and experiment with LLMs in production.
- Be curious about AI, comfortable with ambiguity, and able to collaborate, mentor, and communicate AI best practices.
Benefits
- Remote-first work arrangement with flexibility to work from anywhere in Canada or the United States.
- Mission-driven work focused on improving scientific communication and accelerating scientific discovery.
- Opportunity to work on products used by millions of users across more than 200 countries.
- Inclusive equal-opportunity workplace.
Tech Stack
Categories
About BioRender
BioRender builds a browser-based design platform that lets scientists create accurate figures, schematics, and posters using a curated library of biological icons and templates. It sells its software as a subscription to researchers, labs, and life-science organizations, with enterprise features for teams and institutions. Founded in 2017 and headquartered in Toronto, the privately held company focuses on science communication tools used across academia, biotech, and pharma.