Research Engineer / Research Scientist - Agent Robustness and Control

OpenAI; San Francisco (CA); Hybrid; USD 295,000 - 530,000; Full time

Job summary

A leading company in AI research is looking for a Research Engineer / Research Scientist to join their team in San Francisco. The role focuses on advancing agent research, ensuring safety and security in deployment, and requires strong programming and problem-solving skills. This is an exciting opportunity to contribute to innovative solutions and work in a hybrid model.

Benefits

Relocation assistance

Qualifications

• Strong programming skills in Python or similar languages.
• Experience balancing product and research objectives with safety considerations.
• Familiarity with training and fine-tuning large language models.

Responsibilities

• Train and evaluate models with a focus on robustness.
• Pursue innovative solutions to safety risks.
• Collaborate with cross-functional teams to ship capable agents.

Skills

Programming skills in Python

Problem solving and creativity

Knowledge of safety and security practices

Ability to debug large codebases

Job description

Research Engineer / Research Scientist - Agent Robustness and Control | OpenAI

Careers

Research Engineer / Research Scientist - Agent Robustness and Control

Agents - San Francisco

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About the Team

The Agents team within Research works in research areas combining language models, reinforcement learning, and agents. Agent Robustness and Control focuses on ensuring safe and secure iterative deployment of agents through systems, product, and research engineering work.

About the Role

We’re looking for research engineers excited to advance the frontier of agent research, safety, and security. This role is focused on integrating safety and security at every layer of the stack from fundamental research to launching the work as a product.

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:

• Train and evaluate models with a focus on robustness and monitoring-in-the-loop

• Own and pursue innovative solutions to safety and security risks with no clear answer

• Design, implement, test, and debug code across our research and product stack

• Collaborate with Safety, Security, Research, and Product teams to ship capable agents

• Build reusable tools for improving model safety and robustness across systems and products

• Actively evaluate and understand the safety of our models and systems, identifying areas of risk, then proposing and implementing mitigation strategies

You might thrive in this role if you:

• Are happy to learn whatever is needed and have unique way of learning quickly

• Are comfortable diving into a large codebase to debug (including ML or product components)

• Are willing to experiment and be creative in problem solving, and have a strong understanding that there's more than one way to solve any problem

• Have strong programming skills in Python or similar languages

• Have experience balancing product and research objectives with safety and security considerations in a production, high-stakes environment

• Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and/or policy optimization

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.

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

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

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

OpenAI Global Applicant Privacy Policy

At OpenAI, 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.

Compensation

$295K – $530K + Offers Equity

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