Member of Technical Staff — ML Research, Interpretability is open at Causal in San Francisco. The posting gives no salary; similar roles in the United States advertise a median of $192K. Posted on Jul 20, 2026, and still on Causal’s careers page when we last checked, on Nov 14, 2026.
About the role
is to ensure the model evolves towards this thesis: grounded in physical law, evaluated against it, and ready to generalize across domains. We look for researchers who are excited to tackle unsolved problems. Our mission is to build models capable of learning the underlying causal structures of physical systems and interpretability is how we will know whether they have. Before anyone acts on a model's prediction or…
The opening lines of the posting. The rest is on Causal’s careers page.
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