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About
We're building a small team driven by a deep passion and urgency to solve this civilizationally important problem.
Our founding team has led & shipped models across self-driving cars, humanoid robotics, protein folding, and video generation at world-class institutions including Google DeepMind, Cruise, Waymo, Meta, Nabla Bio, and Apple.
Responsibilities
Work across the full ML stack (data, model, eval, and infrastructure)
Implement novel model architectures and training algorithms
Build data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets
Rapidly iterate on experiments and ablations
Stay up-to-date on research to bring new ideas to work
What we’re looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer Vision, Sensor Fusion, Language Models, Physics-informed NNs)
Experienced at training models and understanding experiment results through careful analysis and ablation studies.
Experienced at writing and optimizing massive petabyte-scale data pipelines.
Familiarity with distributed training and inference.
[bonus] Familiarity with meteorology, computational fluid dynamics, and/or numerical simulations.
You don’t have to meet every single requirement above.
Benefits
Work on deeply challenging, unsolved problems
Competitive cash and equity compensation
Medical, dental, and vision insurance
Catered lunch & dinner
Unlimited paid time off
Visa sponsorship & relocation support
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Languages
- English
Notice for Users
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