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 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