# Research Engineer, Frontier Evals & Environments

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** AI Research
**Salary:** $205k – $380k/yr
**Skills:** Reinforcement Learning, Machine Learning, LLMs, Statistical Analysis, Red-Teaming, Observability, Monitoring, Stochastic Systems, Rl Environments, Model Evaluation
**Posted:** 2025-04-13

> Builds ambitious RL environments and evaluation systems to measure and steer frontier AI models toward safe AGI. Requires strong ML research engineering, statistical skills, and red-teaming mindset for end-to-end project ownership in fast-paced setting.

## Job Description

## Responsibilities
- Create ambitious RL environments to push our models to their limits
- Work on measuring frontier model capabilities, skills, and behaviors
- Develop new methodologies for automatically exploring the behavior of these models
- Help steer training for our largest training runs, and see the future first
- Design scalable systems and processes to support continuous evaluation
- Build self-improvement loops to automate model understanding

## Requirements
- Passionate and knowledgeable about AGI/ASI measurement
- Strong engineering and statistical analysis skills
- Able to think outside the box and have a robust “red-teaming mindset”
- Experienced in ML research engineering, stochastic systems, observability and monitoring, LLM-enabled applications, and/or another technical domain applicable to AI evaluations
- Able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end

## Nice-to-haves
- First-hand experience in red-teaming systems—be it computer systems or otherwise
- An ability to work cross-functionally
- Excellent communication skills

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