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Early Access Deployment Engineer

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labremotesenior$250k–$330k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead alpha engagements turning frontier capabilities into real-world value.
  • Prototype solutions with customers and shape launch decisions.
  • Codify deployment learnings into reusable technical playbooks.

What they offer

  • Relocation assistance
  • Equity

Ideal candidate

Hands-on builder who thrives in ambiguity and loves partnering with customers to turn emerging AI capabilities into real-world impact through rapid iteration and clear communication.

Requirements

  • 4+ years of software engineering or equivalent technical experience with customer-facing delivery and production ownership
  • Track record turning ambiguous ideas into working prototypes and reliable solutions with systems thinking
  • Proficient in Python and/or JavaScript/TypeScript, modern front-end and back-end development, and cloud deployment
  • Practical AI/LLM depth including model behavior reasoning, evaluations, and production AI applications
  • Strong product and customer judgment, scoping experiments and separating signal from noise
  • Own problems end-to-end and learn unfamiliar technical or domain concepts quickly
  • Manage multiple high-stakes technical engagements while anticipating blockers and maintaining momentum
  • Communicate complex ideas clearly and build trust with technical and non-technical stakeholders
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
More about OpenAI →
Apply on the lab’s site ↗