Research Platform Engineer
World Labs - San Francisco
Posted May 1, 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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- Salary
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- 401(k) match
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Schedule
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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
Research Platform Engineer San Francisco About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world - unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology - from AI research to systems engineering to product design - creating a tight feedback loop between our cutting-edge research and products that empower our users. Role Overview We are looking for a Research Platform Engineer to build the mission-critical systems that research at World Labs depends on.This is a senior engineer whose work lives at the seam between research and platform. Your ownership is technical and concrete - the systems you design, the performance you unlock, the distributed infrastructure you operate, and the outcomes those systems produce. You will sit on either our research or platform org depending on where your strengths fit best, and the work happens across the seam between them. We want systems depth paired with a product engineer's instincts for research iteration speed and developer experience. This is a hands-on role . You will design, build, and ship code directly. What You Will Do: Design and build training infrastructure, data infrastructure, and data processing and sourcing pipelines. Productionize models for serving and
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