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Machine Learning - Research
- San Francisco, California, United States
- San Francisco, California, United States
Über
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
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)
Experience training models and an ability to understand 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.
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Sprachkenntnisse
- English
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