Research Scientist, Thin Films
Periodic Labs
Menlo Park, CA · Posted July 9, 2026
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Where Menlo Park, CA ranks
Where Menlo Park, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Best cities for AI-skill jobs in the West Coast32% · of 71
- #6Best cities for financial services pay after cost of living$164k · of 33
- #6Best cities for AI-skill jobs32% · of 100
- #7Best cities for entry-level jobs that want AI skills in the West Coast21% · of 54
- #11Best all-round cities for AI careers in the West Coast75 / 100 · of 39
- #12Best cities for pay after cost of living in California$169k · of 32
Pay compared with the market
This listing does not state pay. Across 74 open research scientist listings that state pay, the middle half runs $172,500 to $299,000 and the median is $228,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
AI use among medical scientists, except epidemiologists is little observed so far. Measured exposure for medical scientists, except epidemiologists: 4% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
ABOUT PERIODIC LABS
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
Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale.
As a Research Scientist in Thin Film Materials Discovery, you will lead thin-film synthesis efforts using advanced PVD platforms, building the experimental foundation for autonomous discovery loops. You will collaborate with computational and AI scientists, and partner with engineers designing next-generation automated laboratory infrastructure.
WHAT YOU’LL DO
- Develop synthesis strategies to realize novel thin-film materials predicted by AI
- Determine and control crystal structures, defects, microstructures, and properties of previously unrealized compounds
- Partner with AI and computation teams to build predictive models of materials growth and properties grounded in physics and chemistry
- Work with engineers to design, test, and deploy automated growth and characterization hardware
YOU WILL THRIVE IN THIS ROLE IF YOU HAVE
- PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience
- Deep expertise with thin-film synthesis methods such as sputtering, PLD, and MBE, with demonstrated experience and creativity across diverse chemistries
- Strong skills in structural and chemical characterization, particularly of thin films and materials with structures or compositions never before realized experimentally — including diffraction, microscopy, and spectroscopy
- Experience probing the optical, electronic, magnetic, thermal, and/or other properties of thin films
- Proven record of collaboration with computational groups, especially for high-throughput materials discovery
- Demonstrated commitment to laboratory safety and stewardship, with hands-on experience in hazardous chemistries
- Strong track record of highly impactful research demonstrated by publications in top-tier journals and/or inventions, and recognized leadership in the field
ESPECIALLY STRONG CANDIDATES MAY ALSO HAVE
- Experience working in national user facilities such as synchrotrons or neutron sources
- Development of novel synthesis or characterization techniques
- Comfort with large experimental datasets and analysis pipelines
- Experience with automation and scripting in laboratory environments
MECHANICS
Minimum education: Bachelor’s degree or similar experience
Location: Menlo Park, CA
Compensation: $250,000-350,000 + equity
Visa sponsorship: Yes, we sponsor visas.
We’re building a team of the world’s best — the scientists, engineers, and problem-solvers who don’t just follow the frontier, they define it. If you’re driven to bring AI to life in the physical world and make discoveries that have never been made before, you belong here.