Chai Discovery Logo

Chai Discovery

Opportunistic

Reposted 29 Days Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
The job invites individuals to express interest by submitting resumes or LinkedIn profiles, emphasizing diversity and contributions to the mission.
The summary above was generated by AI
About Chai Discovery

Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach.

AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly, Pfizer, and Novartis are adopting our platform to power their drug discovery programs.

We value diverse perspectives and are ready to find greatness in unexpected places.

About you

If you bring something exceptional to the table that could advance our mission to accelerate the design of AI to unlock biology and create better medicines, we want to hear from you. We value diverse perspectives and are ready to find greatness in unexpected places.

We offer

The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

HQ

Chai Discovery San Francisco, California, USA Office

San Francisco, California, United States

Similar Jobs

4 Days Ago
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Marketing Tech • Software • Analytics
Open application for prospective team members at Seekeasy, a pre-seed startup developing generative AI recommendation engines. The company seeks builders, owners, and collaborative team players who can work autonomously, ship products, iterate from feedback, and solve real-world discovery challenges using technologies such as generative AI, computer vision, and NLP. Specific role responsibilities and qualifications are not provided.
Top Skills: Computer VisionGenerative AiNatural Language Processing (Nlp)Recommendation Engines
One Month Ago
Remote or Hybrid
United States
70K-225K Annually
Mid level
70K-225K Annually
Mid level
Artificial Intelligence • Healthtech • Software • Telehealth
Design, build, and own reliable, secure, and performant production systems for clinical workflows. Make high-stakes technical decisions, improve code and designs via reviews, collaborate with product/design/clinical experts, debug and harden complex systems, and help shape technical and architectural direction at senior levels.
21 Days Ago
In-Office
South San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Machine Learning • Software • Biotech
Opportunistic role for exceptional candidates to define their own mandate applying frontier AI to biomedical science. Work spans agent platform, science, infrastructure, product, and commercial tasks with end-to-end ownership. Must be highly autonomous, AI-native, collaborative, and able to work onsite in South San Francisco.
Top Skills: Agent PlatformAIAutomationCoding Agents

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account