Research Engineer/Research Scientist - Personal AGI, North Stars

Posted Yesterday
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San Francisco, CA, USA
Hybrid
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Role
Conduct research and engineering to improve model capabilities (personalization, instruction following, tool-use). Own research agenda, build robust evaluations, implement and debug code across the ML research stack, and collaborate with product and research teams to deploy models to users.
Summary Generated by Built In

About the Team

The Personal AGI team seeks to empower all of humanity to benefit from frontier intelligence in whatever way they choose. We are responsible for training models to deploy to millions of users globally via ChatGPT, the API, and future products. We aim to evolve ChatGPT from a chatbot to an infinitely capable and personalized superassistant supporting human flourishing.

We work on defining, measuring, and improving capabilities across the training stack. Our focus areas include but are not limited to model behavior, personalization, safety, factuality, instruction following, personality, interactivity, multilingual fluency, world interaction, and bringing agents to everyone. We chart the course for what to strive towards.

We partner closely with research and product teams across the company ensuring that our models are safe, efficient, and reliable.

About the Role

You’ll work as a Research Engineer / Scientist on the North Stars team within the broader Personal AGI research org. You will work on bringing the next generation of AI-enabled experiences to all of humanity by closing the capability overhang between power users and the average consumer, including areas like tool-use, feature discovery, connectors, and instruction following. You will think deeply about the current bottlenecks in model behavior, translate these insights into robust evals, training data, reward signals, and model and harness improvements.

We're looking for individuals with strong ML engineering skills and research experience passionate about creative, 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 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 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 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 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.

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

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.

Skills Required

  • Strong machine learning engineering skills
  • Research experience in ML or related fields
  • Deep understanding of machine learning and its applications
  • Working knowledge of relevant models and building evaluations for model capability improvement
  • Ability to design, implement, test, and debug code across a large ML codebase
  • Comfort diving into large ML codebases to debug
  • Ability to translate research insights into evals, training data, reward signals, and model/harness improvements
  • Based in or able to relocate to San Francisco, CA and work hybrid (3 days/week in office)

OpenAI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OpenAI and has not been reviewed or approved by OpenAI.

  • Equity Value & Accessibility Equity is considered substantial and has become more accessible through tender offers and eased vesting terms. Feedback suggests this provides meaningful upside beyond base pay for many technical roles.
  • Parental & Family Support Parental leave spans 20–24 weeks with post-leave flexibility, alongside generous fertility coverage and family planning support. Feedback suggests these programs materially support caregivers and families.
  • Healthcare Strength Health, dental, and vision insurance are comprehensive and include mental healthcare support. Feedback suggests overall medical coverage is strong and part of a broader wellbeing focus.

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The Company
HQ: San Francisco, CA
4,500 Employees
Year Founded: 2015

What We Do

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. 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.

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