Applied AI Engineer, Quants
OpenAI · London, UK
CHECKED 1H AGO
Frontier labremote
At a glance
Highlights
- Partner directly with quant trading firms to bring frontier AI into production.
- Build AI systems for research, data analysis, and software development workflows.
- Turn deployment lessons into reusable patterns influencing OpenAI products.
What they offer
- Relocation assistance
Ideal candidate
High-agency builder with a quant research or trading background who loves hands-on coding and rigorous evaluation. You thrive in ambiguous enterprise settings and care about turning AI prototypes into lasting production impact.
Requirements
- Background in quantitative research, quantitative development or deep understanding of quant trading teams
- Hands-on experience with LLMs, including building AI applications or tools like Codex
- Substantial personal contributions in code, architecture, evaluation or production engineering
- Highly proficient in Python for research tools, data workflows and software systems
- Rigorous approach to evaluating quantitative, statistical or machine-learning systems
- Experience with enterprise production requirements including security, privacy and governance
- Clear communication with engineers, technical leaders and executives
- 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