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Zenithon AI, Inc. in San Francisco seeks a role that collaborates closely with customers and our research team to translate complex physics problems into deployable machine learning solutions.
You will own projects from problem understanding and model training to deployment and ongoing iteration with users. The ideal candidate has strong physics fundamentals, hands-on ML experience, exceptional learning speed, a bias for execution, and responsiveness to feedback.
Zenithon builds foundation models for extreme physics, accelerating simulation and engineering across fusion energy, semiconductors and aerospace.
You’ll work directly with customers and our research team to turn difficult physics problems into working solutions. You’ll own projects from understanding the problem and training models through to deployment and iteration with users.
Above all, we care about how quickly you can get up to speed on an unfamiliar problem and deliver something useful.