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Applied AI Engineer, Digital Natives
OpenAI · London, UK
CHECKED 1H AGO
Frontier labClosedremote
At a glance
Highlights
- Partner with Digital Native companies to build AI products from experiment to scale.
- Work on consequential real-world deployments at the frontier of AI.
- Turn lessons from complex enterprise deployments into better products.
What they offer
- Relocation assistance
Ideal candidate
Hands-on builder with high agency who loves taking AI from prototype to production and driving measurable customer impact. You thrive in ambiguity, collaborate with humility, and connect deeply with engineers and executives alike.
Requirements
- Track record designing, building and delivering AI/ML systems in enterprise environments from prototype to production
- Substantial hands-on contributions in code, architecture, evaluation, debugging or production engineering
- Highly proficient in Python and comfortable across AI application stack, including JS/TS
- Experience evaluating AI systems with representative data, graders, production signals and human judgment
- Navigated enterprise production needs like reliability, security, privacy, governance, performance and cost
- Ability to link technical decisions to workflows, adoption and measurable business outcomes
- Clear, credible communication with engineers, technical and product leaders, security teams and executives
- High agency, strong technical judgment and end-to-end ownership in ambiguous environments
- remote policy
- Hybrid, 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