ML Planning & Control Researcher for Causal Weather AI
causal
Causal is building a Large Physics foundation Model aimed at enabling interventional causality for weather-related systems. The team seeks researchers to build the planning layer on top of the LPM, conditioning the model on objectives and generating actions to achieve them, from operational decisions to physical interventions. You will contribute to planning, control, and decision-making in high-dimensional physical state spaces, explore uncertainty, and work across the ML stack to scale #J-18808-Ljbffr causal
Vacancy posted 4 hours ago
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