Posted 10 hours ago
Machine Learning Researcher
Causal LabsMachine Learning - Research
Requirements
Machine learning fundamentals, Core domain depth (CV, NLP, or Physics-informed NNs), Model training experience, Petabyte-scale data pipeline optimization, Distributed training and inference
Skills
Machine LearningComputer VisionDistributed Training
About the role
About the Company
Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics - including Google DeepMind, Cruise, Waymo, Insitro, and Nabla Bio - who believe general causal intelligence will be the most important technical breakthrough for civilization. Our mission is general causal intelligence, AI that is capable of predicting the future and identifying the optimal actions to change that future.
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
Requirements
- Strong grasp of machine learning fundamentals
- Depth in at least one core domain (e.g. Computer Vision, Sensor Fusion, Language Models, Physics-informed NNs)
- Experience training models and analyzing experiment results through ablation studies
- Experience writing and optimizing massive petabyte-scale data pipelines
- Familiarity with distributed training and inference
Preferred Qualifications
- Familiarity with meteorology
- Familiarity with computational fluid dynamics
- Familiarity with numerical simulations
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Causal Labs · San Francisco
