Research Engineer, Codex
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.
About the job
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.
Skills
LLMs, Code Generation, Ml Systems, Cloud Infrastructure, Llm Inference, Container Orchestration, Model Training, Model Alignment, Model Evaluation, Python
Similar jobs
AI Research jobs
OpenAI
San Francisco, CA
Conducts frontier AI research for health, developing and evaluating scalable training methods, models, and agents that improve medical reasoning, reliability, and real-world outcomes. Requires exceptional machine learning or biomedical AI research depth, hands-on coding and experimentation, and end-to-end ownership of ambiguous problems.
Anthropic
San Francisco, CA
Conducts hands-on medicinal chemistry research to evaluate AI-generated molecules and synthetic routes, advancing small-molecule programs from design through experimental validation. Requires a chemistry PhD, sustained synthetic experience, and cross-functional collaboration skills.
Descript
San Francisco, CA
Applied research scientists develop deep-learning and generative media systems for video, audio, and multimodal editing features that ship to millions of users. The role requires strong PyTorch or TensorFlow skills, rapid experimentation, and evidence of impactful research or production machine-learning work.
The Voleon Group
New York, NYConducts causal inference research for financial market prediction and portfolio optimization, developing and validating models from research through live trading. Requires Ph.D.-level coursework, strong causal inference and statistics expertise, mathematical ability, and production Python skills.
Anthropic
San Francisco, CA
Research Engineer building large-scale AI capability evaluations, telemetry, data pipelines, and analysis tools for Anthropic’s Takeoff Intel team. The role requires hands-on large language model experimentation, rapid prototyping, data expertise, and strong research collaboration.