Chai Discovery builds frontier AI models to design molecules and transform how new cures are found. We are a craft-obsessed team setting out to re-architect drug discovery and save lives.
The Chai founding team brought together leading researchers in this space and top silicon valley operators. Our founders led seminal accomplishments at top AI-for-biology programs and labs, co-invented protein language modelling, built state-of-the-art folding algorithms, and sold AI adopted by top-10 pharma companies. We are backed by top-tier investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and many more.
About the roleProduct engineers build the Chai software platform: tools for scientists to query models, visualize molecular structures, and interpret data with our AI in the loop. You'll collaborate on a daily basis with designers, ML researchers, and wet-lab teams to make complex science repeatable. You care about reliability, elegance and utility—on the product surface as well as what's under the hood.
After years of foundational R&D, Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to bring the most advanced AI drug design models to market, working alongside a craft-obsessed team of micro pessimists and macro-optimists.
About youYou are mission-driven and want to define the gold standard for purposeful AI technology. You should have:
Software experience:
Bachelor’s degree or equivalent experience in Computer Science or related field.
3 + years building production web applications with modern frameworks (React/Vue, TypeScript/JavaScript, Node/Go/Python back-ends).
Have a knack for finding the smallest amount of code to solve a user problem well.
Care about making pixel-perfect products.
Data-driven: instrument features, analyze usage, and iterate quickly on feedback
Familiar with automated testing, CI/CD pipelines, and monitoring/alerting for 24 × 7 production services
Experience optimizing performance or interactive visualizations is a plus
Communication & collaboration
Able to explain technical trade-offs to non-engineers and to translate scientific requirements into engineering tasks
Enjoy pair-reviewing code, writing docs, and sharing knowledge with teammates
Mindset:
Interest in biotech or computational biology; prior exposure to scientific data, bio-visualization, or HPC workloads is a bonus but not required
Comfortable iterating quickly in a startup where requirements, and underlying science, evolve fast
Bias for shipping: you value small, incremental improvements over big-bang rewrites
Clear communicator who can simplify complex science for external partners and internal stakeholders
Comfortable in a fast-moving startup where priorities shift and you own features end-to-end, from idea to production and beyond
Frontier technology: work on the technologies that promises to fundamentally change how new therapeutics are created.
World-class people: work with world-renowned leaders in the AI x Biology ecosystem.
Velocity and ownership: we move incredibly fast and liberally distribute ownership, which means continuous learning and career growth opportunities are guaranteed.
Strong culture and mission: we foster a supportive culture that is mission-driven and high-energy.
Highly competitive compensation: we attract the best talent and compensate them accordingly.
Top Skills
What We Do
Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.
