Chai Discovery
Software Engineer, Products
San Francisco office
Sponsorship not specifiedDetected 387 days ago
TypeScriptPythonGoReactVue.jsNode.jsCI/CDTest AutomationResearch
About the role
- A great model needs the right product around it to be useful, and right now the products we ship provide just as much leverage as the models do.
- You'll turn raw model capability into something a biologist reaches for instinctively, and carry what they learn back to the models.
Responsibilities
- Chai is a research lab working on generative models for molecular design.
- Nobody has fully defined what it means to design a medicine on a computer, so this whole category of software is yours to invent.
- 2+ years building and owning production products end to end with modern frameworks (React or Vue, TypeScript, and a Node/Go/Python backend)
Requirements
- A background in biology is not required.
Skills
- the applied AI layer and product that turn our foundation models into tools the world's best drug designers use every day.
- Our models have moved beyond structure prediction into real therapeutic engineering, and the product has only begun to catch up.
Compensation
- We offer highly competitive compensation.
Benefits
- Prior exposure to enterprise or scientific software is a bonus.
Company info
- You'll work in a tight loop with researchers, scientists, our partner-facing team, and customers.
- We are building AI infrastructure to engineer new medicines with speed and precision.
- Our mission is to unlock progress towards better cures and better science, and we see countless interesting problems on the road ahead.
- We are known for talent density, rigorous research and pace of execution.
- We are backed by Sequoia, Index, Thrive, General Catalyst, Dimension, OpenAI and others.
- We're looking for engineers who get obsessed with hard problems, ship small and often, and are as comfortable adapting a model to a real task as they are sweating the details of an interaction.
- We offer highly competitive compensation.
- The ability to explain technical tradeoffs to non-engineers, understand what customers need, and translate scientific requirements into engineering work
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