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About the Role
We are building a Large Physics foundation Model (LPM) to achieve general causal intelligence, enabling AI to predict and alter physical systems, starting with weather. Our deployment teams embed with high-stakes decision-makers to turn models into dependable results, feeding field learnings back into the product.
Responsibilities
- Embed with strategic customers to understand their mission and ensure we build the solution that actually solves it
- Deliver scalable data infrastructure and integrations inside real customer environments
- Design and ship AI systems that hold up under real-world conditions, data, and constraints
- Surface new problems as you find them in the field, and extend our core platform to handle them
- Work hands-on across the stack — technical, resourceful, and close to the user
Requirements
- Strong, versatile engineering skills and the resourcefulness to solve unfamiliar problems with whatever it takes
- Experience building and shipping real systems in production — data infrastructure, integrations, applications
- Comfort working directly with customers and adapting fast to their environments and constraints
- Willingness to travel and embed on-site wherever the mission needs you
- A bias toward real-world impact over elegance: solutions that work for the user, under pressure
- Willingness to travel to and spend extended time on-site with customers is required
Work Type
- On-site
About the Company
- Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
- To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect.
- We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.
- 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.