Machine Learning - ResearchCausal Labs, Inc. • San Francisco, CA, United States
Machine Learning - Research
Causal Labs, Inc. • San Francisco, CA, United States
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- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionStrong 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. Work on deeply challenging, unsolved problems Competitive cash and equity compensation Catered lunch & dinner Unlimited paid time off Visa sponsorship & relocation support
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.
You don’t have to meet every single requirement above.
Benefits
Medical, dental, and vision insurance
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Machine Learning • San Francisco, CA, United States
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