Senior AI Engineer

BioRender; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

BioRender is accelerating the world's ability to visualize biology through AI-powered tools. BioRender seeks a Senior AI Engineer who will build full‑stack AI features and integrate AI across the product to help scientists communicate faster and more clearly.

You will collaborate with product managers, designers, and data scientists to shape an AI-driven roadmap and rapidly prototype capabilities such as natural language and multimodal processing, then productionize them in the core product.

Responsibilities

• Collaborate with product managers, designers, and data scientists to shape AI-driven UX roadmap.
• Prototype AI features and productionize them into the core product to help scientists communicate faster.

Job description

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.

About Us

We’re on a mission to democratize science communication with cutting-edge AI-powered products. As a Senior AI Engineer, you’ll not only build full-stack solutions but also integrate AI into every layer of our product—turning innovative ideas into production-ready features that delight our users.

What You’ll Be Doing

• Collaborate Across Teams: Work side-by-side with product managers, designers, and data scientists to shape a roadmap that leverages AI for smarter, more engaging user experiences.
• Prototype & Productionize: Rapidly prototype AI-driven features (e.g., natural language & multimodal processing, intelligent recommendations) and productionize them into our core product to help scientists communicate faster.