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Xterra AI
San Francisco, California, United States • On-site
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Develop new methods for teaching AI systems to reason about complex scientific problems. Own the end-to-end process from initial research and experimentation to production deployment.
Requires strong fundamentals in machine learning and hands-on experience training large models, specifically with reinforcement learning. Candidates should be comfortable working across both research and engineering disciplines.
Xterra is a Khosla Ventures-backed company building AI agents that reason about complex scientific problems. We’re not a wrapper around existing models, we’re training our own foundation models on top of large-scale proprietary datasets. This is a rare intersection of frontier AI and real-world scientific impact.
Xterra is still in stealth mode. Please reach out to us for a full picture.
We’re looking for research scientists who want to work at the intersection of research and engineering, developing new methods for teaching AI systems to reason. You’ll own problems end-to-end, from idea through experimentation to production.
We’re hiring across multiple levels (early-career through senior/staff) and will calibrate scope and expectations to match your experience.
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