Research Engineer/Scientist - Generative UI, Consumer Devices · OpenAI

Fri, 24 Apr 2026 12:20:50 GMT
Engineering

OpenAI · San Francisco · $380K – $445K · hybrid

Job Title: Research Engineer/Scientist - Generative UI, Consumer Devices

Location: San Francisco

Department: Consumer Products

Job Type: Full time

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

401(k) retirement plan with employer match

Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

Mental health and wellness support

Employer-paid basic life and disability coverage

Annual learning and development stipend to fuel your professional growth

Daily meals in our offices, and meal delivery credits as eligible

Relocation support for eligible employees

Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity.

About the Role

As a Research Engineer/Scientist on the Future of Computing Research team, you will work together with _both_ the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.

This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees.

In this role you will:

Train and evaluate SoTA models along axis that are important to our vision for future devices.

Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.

Help define how software works for decades to come.

You might thrive in this role if you:

Have 5+ years of relevant work experience.

Have a research background in utilizing and training language models to generate UI, and developing recipes to evaluate the quality / applicability of UI generated.

Love exposure to a bit of everything – we’re collaborators with a hugely diverse set of research.

Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.

Have already spent time in the weeds teaching models to speak and perceive.

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 we 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 characteristic.