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Machine Learning - ResearchCausal Labs, Inc. • San Francisco, CA, United States
Machine Learning - Research

Machine Learning - Research

Causal Labs, Inc. • San Francisco, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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

    • #J-18808-Ljbffr

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