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Member of Technical Staff — Deployment Engineering

Causal Labs· Deployment
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San Francisco, SingaporeFull-timePosted 2mo ago

About the role

Engineering role focused on embedding with institutions to deploy AI systems for physical-world applications, delivering data infrastructure, integrations, and real-world capable AI solutions.

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

Qualifications

  • 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

Skills

Required:EngineeringProduction systems
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Causal Labs

Towards general causal intelligence

Causal Labs is building a Large Physics foundation Model (LPM) to learn causality through physics and weather

causalityphysicsweatherAIfoundation model
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