Technical Sourcer - physical sciences
Periodic Labs - Menlo Park, Remote, Menlo Park, California, USA
Posted Apr 25, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Technical Sourcer - physical sciences Menlo Park, Remote, Menlo Park, California, USA About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is hiring a Technical Sourcer to help us find and engage the exceptional talent that defines our team. You'll work across both our “bits” and “atoms” sides - sourcing for software engineers, ML researchers, and AI scientists as well as materials scientists, chemists, physicists, and lab engineers. This is a high-impact, high-craft role: we hire for rare combinations of skill and curiosity, and great sourcing is the first step in finding people the world doesn't expect to find. You'll work directly with our Head of Recruiting and partner with researchers and engineers across the company to build candidate pipelines that match our ambition. You're comfortable operating in uncharted territory, can craft outreach that actually gets responses, and know how to evaluate technical profiles across diverse disciplines. What You'll Do - Own full-cycle sourcing across technical roles spanning AI/ML research, software infrastructure, and physical sciences (materials, chemistry, physics, lab engineering) - Build and manage diverse, high-quality talent pipelines using LinkedIn Recruiter, GitHub, Google Scholar, academic
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