Causal Labs
San Francisco, California, United States +1
Design and implement novel model architectures and training algorithms for learning from massive, multimodal physical data; Solve core modeling problems unique to physical prediction: encoding heterogeneous and irregularly-sampled modalities, stable long-horizon rollouts, and…
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View the original ad ↗Causal Labs · San Francisco, California, United States +1
Measure developer velocity, and partner with researchers, product engineers, and forward-deployed engineers to find what slows them down and remove it; Build internal infrastructure for agentic development: sandboxes, tool access, context, and eval harnesses that let autonomous…
Causal Labs · San Francisco, California, United States +1
Enterprise Infrastructure & Cloud Isolation: Architect secure network perimeters, private data transmission channels (e.g., PrivateLink, VPNs), and isolated single/multi-tenant storage environments. Implement access controls and customer-managed encryption (KMS/BYOK) across…
Causal Labs · San Francisco, California, United States +1
Bring physical principles to bear on the model — assessing consistency with conservation laws and physical constraints, and where physics-informed inductive biases help or hinder; Develop evaluations that test whether the model's behavior is physically coherent, not just…
Causal Labs · San Francisco, California, United States +1
Guide the sourcing and validation of atmospheric data, advising on observation systems, their characteristics, and their pathologies; Define what forecast quality means, bringing rigorous verification methodology to how we evaluate the model; Run case studies on high-impact…