Research Engineer / Research Scientist -Personal AGI, Proactivity

OpenAI; San Francisco (CA); On-site; USD 295,000 - 555,000; Full time

Job summary

OpenAI is seeking a Research Engineer / Scientist to enhance the personalization and capabilities of their models based in San Francisco, CA. This role involves research, model evaluation, and collaboration with product teams.

Ideal candidates are skilled in ML engineering and research with a strong interest in product-driven approaches. OpenAI offers a hybrid work model with relocation assistance and a compensation range of $295K – $555K.

Qualifications

• Deep understanding of machine learning and its applications.
• Familiarity with LLM post-training and evaluation.
• Passionate about personalization and goal achievement.
• Comfortable with large ML codebases.

Responsibilities

• Own and pursue a research agenda for model proactivity.
• Build evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across research.
• Collaborate with research and product teams.

Skills

Machine Learning Engineering

Research experience

Personalization

Debugging ML codebase

Job description

About The Team

The Proactivity Research team, within OpenAI’s broader Personal AGI team, is focused on making our models in ChatGPT and future potential products proactive in ways that are truly useful. We're laying the technical foundations for AI that can anticipate what users need in real time, adapt as their goals and preferences shift, and build a deeper, evolving understanding of the person it's helping.

About The Role

As a Research Engineer / Scientist, you will research and develop improvements to our models’ personalization and agentic capabilities. Our team works on reinforcement learning, dataset creation, evaluations, and other post‑training methods. We partner closely with research and product teams across the company to realize the vision of a highly personalized, collaborative, and proactive assistant.

We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product‑driven research.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In This Role, You Will

• Own and pursue a research agenda to improve the proactivity and ability of our models to further user goals.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
• Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product.

You Might Thrive In This Role If

• Have a deep understanding of machine learning and machine learning applications.
• Have a working knowledge of LLM post‑training and evaluation approaches.
• Are passionate about, or have experience thinking about, personalization and enabling users to achieve their goals.
• Are comfortable diving into a large ML codebase to debug.
• Thrive in a dynamic and technically complex environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal‑opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

Compensation

Compensation Range: $295K – $555K