# Research Engineer/Research Scientist, Personal AGI-Model Experience

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $295k – $555k/yr
**Skills:** Machine Learning, Reinforcement Learning, Python, Evaluations, Reward Models, Post-Training, Ml Engineering, Debugging, Research
**Posted:** 2026-07-22

> Research Engineer/Scientist on OpenAI's Personal AGI Model Experience team, shaping ChatGPT's character, behavior, and human-AI interactions through research, human data, evaluations, reward models, and post-training. Requires strong ML engineering and research experience with large models.

## Job Description

## Responsibilities
- Own and pursue a research agenda to improve model capability and performance.
- Collaborate closely with other research and product teams.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across the research stack.

## Requirements
- Deep understanding of machine learning and machine learning applications.
- Good judgment about model behavior and ability to communicate this judgment effectively.
- Enjoy taking ambitious, qualitative problems and turning them into concrete training interventions.
- Working knowledge of relevant models and building evaluations for model capability improvement.
- Comfortable diving into a large ML codebase to debug.
- Thrive in a dynamic, technically complex, and collaborative environment.
- Strong ML engineering skills and research experience, especially with novel and highly capable models.
- Passionate about product-driven research and the quality of human-AI interaction.

## Nice-to-Haves
- Experience in research areas combining reinforcement learning and products.

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