1 year ago
Base Salary
$380k - $445k/yr
Responsibilities
- Design and run experiments to improve code generation, reasoning, and agentic behavior in Codex models.
- Develop research insights into model training, alignment, and evaluation.
- Identify and resolve inefficiencies across agent behavior, LLM inference, and container orchestration.
- Build tooling to measure, profile, and optimize system performance at scale.
- Prototype capabilities, debug complex issues, and ship improvements to production.
Requirements
- Strong software engineering skills and the ability to quickly turn ideas into working prototypes.
- Interest in large language models, software reasoning, and code generation.
- Ability to investigate open-ended research problems with creativity and rigor.
- Experience operating across ML systems and cloud infrastructure.
- Ability to balance system speed, cost, performance, and user experience.
Benefits
- Hybrid work model requiring 3 days in the San Francisco office per week.
- Relocation assistance is offered to new employees.
Categories
AI ResearchML Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.