Early Access Deployment Engineer
OpenAI · San Francisco
CHECKED 23H AGO
Frontier labremotesenior$250k–$330k
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