<div> <div> <div> <h2>Location</h2> <p>Menlo Park, Remote</p> </div> <div> <h2>Employment Type</h2> <p>Full time</p> </div> <div> <h2>Department</h2> <p>Other</p> </div> </div> <div> <div tabindex="0" role="tabpanel" aria-labelledby="job-overview" id="overview"> <div> <p><strong>About Periodic Labs</strong></p> <p>We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.</p> <p></p> <p><strong>About the role</strong></p> <p>We’re always on the lookout for exceptional people - even if there’s no open role that’s a perfect fit right now.</p> <p>If you believe your skills and experience align with our mission and you're excited about what we're building, we’d love to hear from you.</p> </div> <a href="#"></a> </div> </div> </div>

Remote

Menlo Park, CA, USA

Today, we introduce Periodic Labs. Our goal is to create an AI scientist. Science works by conjecturing how the world might be, running experiments, and learning from the results. Intelligence is necessary, but not sufficient. New knowledge is created when ideas are found to be consistent with reality. And so, at Periodic, we are building AI scientists and the autonomous laboratories for them to operate. Until now, scientific AI advances have come from models trained on the internet. But despite its vastness — it’s still finite (estimates are ~10T text tokens where one English word may be 1-2 tokens). And in recent years the best frontier AI models have fully exhausted it. Researchers seek better use of this data, but as any scientist knows: though re-reading a textbook may give new insights, they eventually need to try their idea to see if it holds. Autonomous labs are central to our strategy. They provide huge amounts of high-quality data (each experiment can produce GBs of data!) that exists nowhere else. They generate valuable negative results which are seldom published. But most importantly, they give our AI scientists the tools to act. We’re starting in the physical sciences.

San Francisco, CA, USA

Periodic Labs

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