Research Engineer/Research Scientist, Personal AGI-Model Experience

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

United States Digital Space LLC in San Francisco is seeking a Research Engineer/Scientist to advance model capabilities through focused research and product-driven improvements. You will work on reinforcement learning and product integrations, shaping model behavior and evaluation methods.

The role emphasizes strong ML engineering, curiosity about model reliability, and collaboration with cross-functional teams.

Qualifications

• Strong ML engineering and research experience.
• Interest in product-driven research and high-quality human-AI interaction.
• Ability to build robust evaluations and work with large ML codebases.

Responsibilities

• Own and pursue a research agenda to improve model capability and performance.
• Collaborate with research and product teams to enable customer model optimization.
• Build robust evaluations for tracking model improvements.
• Design, implement, test, and debug code across the research stack.

Skills

ML engineering

Research

Reinforcement Learning

Model evaluation

Python

Job description

About the Team

The Personal AGI team is responsible for training and improving pre-trained models to be deployed into ChatGPT, the API, and potential future products. In the Model Experience team, we shape the default character and behavior of ChatGPT: how the model communicates, responds to users, uses its capabilities, and behaves across different contexts and languages. Our goal is to make every interaction with ChatGPT thoughtful, helpful, and trustworthy. We take an opinionated view of what good human–AI interaction should look like, then turn that vision into real model behavior through human data, evaluations, reward models, and post-training.

Our work sits at the intersection of research, product, and model design. We partner closely with teams across the company to conduct research and ensure our models are thoughtful, safe, reliable to serve millions of users.

About the Role

As a Research Engineer / Scientist, you will research and develop improvements to our models. Our team works in research areas combining reinforcement learning and products.

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 and the quality of human-AI interaction.

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 model capability and performance.
• Collaborate closely with the other research and product teams, allowing customers to optimize their own models.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.

You might thrive in this role if you:

• Have a deep understanding of machine learning and machine learning applications.
• Have good judgment about model behavior and can communicate this judgment effectively.
• Enjoy taking ambitious, qualitative problems and turning them into concrete training interventions.
• Have a working knowledge of relevant models, and building evaluations for model capability improvement.
• Are comfortable diving into a large ML codebase to debug.
• Thrive in a dynamic, technically complex, and collaborative environment.

About the company

the company 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.

For additional information, please see the company’s Aff

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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

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At the company, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.