# Research Engineer, Codex

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** AI Research
**Salary:** $295k – $445k/yr
**Skills:** LLMs, Code Generation, Ml Systems, Cloud Infrastructure, Llm Inference, Container Orchestration, Model Training, Model Alignment, Model Evaluation, Python
**Posted:** 2025-08-05

> Advances AI coding models through research, experimentation, and system optimization on the Codex team. Collaborates to improve code generation, reasoning, and performance for real-world deployment.

## Job Description

## 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.
- Hunt down and address inefficiencies across the Codex system stack—from agent behavior to LLM inference to container orchestration—and land high-leverage performance improvements.
- Build tooling to measure, profile, and optimize system performance at scale.
- Work across the stack to prototype new capabilities, debug complex issues, and ship improvements to production.

## Requirements
- Excited to explore and push the boundaries of large language models, especially in the domain of software reasoning and code generation.
- Strong software engineering skills and enjoy quickly turning ideas into working prototypes.
- Think holistically about performance, balancing speed, cost, and user experience.
- Bring creativity and rigor to open-ended research problems and thrive in highly iterative, ambiguous environments.
- Experience operating across both ML systems and cloud infrastructure.

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