Data & AI Jobs at causal
causal has 4 open data and AI roles, alongside 16 other open roles.
About causal
Causal Labs is building a Large Physics foundation Model (LPM) that aims to learn causality through physics and weather, which it describes as the most well-observed and consequential physical system. The company's focus is on advancing AI by understanding how actions influence the world.
The open roles
- Member of Technical Staff — ML Research, Planning: San Francisco, posted 20 July 2026.
- Member of Technical Staff — ML Research, Multimodal: San Francisco, posted 20 July 2026.
- Member of Technical Staff — Research, Operations & Decision Science: San Francisco, posted 20 July 2026.
- Member of Technical Staff — ML Research, Interpretability: San Francisco, posted 20 July 2026.
Also hiring at causal
causal is also hiring in engineering (11), operations (2), customer success and support (1), people and talent (1) and product (1).
Its roles are in San Francisco, CA, US (20).
What data and AI work involves at an early-stage startup
The data is messy and there is not much of it yet. You build the pipeline, train the model, then explain the result to a founder in plain words. Large employers give you a clean warehouse and one narrow question, while here you pick the question too.
Questions people ask
What else is causal hiring for?
Engineering, operations, customer success and support, people and talent, and product: 16 more roles.