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Applied AI Engineer, Digital Natives

OpenAI · Munich, Germany

Frontier labremote
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At a glance

Highlights

  • Partner directly with leading organizations to deploy frontier AI to production.
  • Turn deployment lessons into reusable patterns and product improvements.
  • Take ambitious AI ideas from prototype through launch to scaled impact.

What they offer

  • Relocation assistance

Ideal candidate

Hands-on builder who thrives partnering with customers to ship reliable AI systems to production. You combine technical judgment with ownership and care about measurable business impact and adoption.

Requirements

  • Demonstrated track record designing, building and delivering AI or ML systems in enterprise environments from prototype to production
  • Fluent in German and English
  • Substantial personal contributions in code, architecture, evaluation, debugging or engineering of production systems
  • Highly proficient in Python and comfortable working across AI application stack
  • Understand how to evaluate AI systems systematically using representative data, graders, production signals and human judgment
  • Navigated enterprise production requirements such as integrations and reliability
remote policy
3 days in office per week

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗

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