Causal
Member of Technical Staff - ML Research
San Francisco · Staff+
Sponsorship not specifiedDetected 266 days ago
AlgorithmsMachine LearningData EngineeringComputer VisionRoboticsSensorsResearch
About the role
- Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
- We look for researchers who are excited to tackle unsolved problems.
Responsibilities
- Implement novel model architectures and training algorithms
- Build data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets
Requirements
- Experience training models and an ability to understand experiment results through careful analysis and ablation studies.
- Familiarity with distributed training and inference.
Benefits
- 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)
Company info
- What we're looking for
- Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
This listing is sourced directly from Causal's careers page and normalized into a canonical job model.