Research Engineer/Research Scientist - Personal AGI, North Stars

OpenAI

San Francisco (CA)

Hybrid

USD 380,000 - 500,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance
Hybrid work model
Equity
Health insurance
Paid time off
Meal programs

Job summary

OpenAI is seeking a Research Engineer/Research Scientist for the Personal AGI, North Stars team in San Francisco. This role drives the next generation of AI-enabled experiences, focusing on tool-use, connectors, and instruction following to bridge power users and the average consumer.

You will combine ML engineering and research, writing robust evals, creating training data and reward signals, and implementing model improvements across the research stack.

Qualifications

  • Strong ML engineering skills and research experience.
  • Ability to work across the training stack, from evals to data and models.
  • Comfort debugging a large ML codebase.

Responsibilities

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

Job description

Research Engineer/Research Scientist - Personal AGI, North Stars | OpenAI

Careers

Research Engineer/Research Scientist - Personal AGI, North Stars

Post-training - San Francisco

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 Affi…

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.

Compensation

$380K – $500K + Offers Equity

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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

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