Machine Learning - Research

About us

Our mission is to build causal intelligence, starting with physics models to predict and control the weather.

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 Deep Mind, Cruise, Waymo, Meta, Nabla Bio, and Apple.

• 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

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.

• 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