Co-op, Agentic and Generative Protein Design
San Francisco, CAInternshipPosted todayStill listed today
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At a glance
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Job overview
The co-op will work on AI methods for therapeutic protein design, connecting computational work with wet-lab testing. The role may focus on generative models and protein-design pipelines, AI agents for design campaigns, or a mix of both. The co-op will own a scoped project and deliver code and analyses that inform design decisions and scientific outcomes.
Skills & qualifications
Skills
Full job description
Your Impact at LILA Our team works on AI methods for therapeutic protein design, with a tight loop between computation and the wet lab. A co-op could take on either of two tracks, or a mix of both. (1) Generative models and protein design pipelines: build, benchmark, and improve methods for designing proteins (such as antibodies and minibinders), with candidates tested in our lab so results are grounded in experimental data. (2) AI agents for protein design campaigns: build and evaluate agents that help plan campaign strategy (target and epitope selection, choosing methods and settings), execute campaigns (launching design and filtering runs, diagnosing failures, adapting the next round), and reason over biological priors from the literature alongside the outputs of domain-specific models. Either way, the co-op would own a well-scoped project, ship code and analyses that feed real design decisions and scientific outcomes. What You'll Be Building
- Develop, evaluate, and apply agentic systems for protein design and/or deep generative models for protein design.
What You'll Need to Succeed
- Strong python and and computational science background.
- Experience with coding agents.
- Experience with machine learning for molecular design
Bonus Points For
- Experience with customizing agents, building harnesses, or using agents for scientific applications
- Solid technical understand and experience with generative models.
About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
How this job compares
Set against the 2,174 open Machine Learning jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This postingNot listed
- California median$193–286K/yr348 salary ranges
- California median$60–70/hr33 hourly ranges
- Openings
- Olive Jobs lists 493 open Machine Learning jobs in California and 2,174 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (1,632 postings).
- Education
- 787 of the 2,174 open Machine Learning jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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