Research Engineer / Research Scientist -Personal AGI, Proactivity

Openai

San Francisco, US

On-site

Who this role is best for

Best suited to mid-level machine learning professionals working in personalization and proactive AI, requiring hybrid presence in San Francisco.

Best fit for

ML engineers with hands-on experience in LLM post-training and evaluation approaches
— “Have a working knowledge of LLM post-training and evaluation approaches”
Researchers passionate about product-driven AI personalization and user goal achievement
— “Are passionate about, or have experience thinking about, personalization and enabling users to achieve their goals”
Candidates comfortable navigating and debugging large ML codebases in dynamic environments
— “Are comfortable diving into a large ML codebase to debug”

Things to consider

Requires commuting to San Francisco office three days per week
— “We use a hybrid work model of 3 days in the office per week”
Involves close collaboration with multiple research and product teams
— “Collaborate closely with the other research and product teams”

How to stand out

Demonstrate specific examples of improving model proactivity in past projects
— “Own and pursue a research agenda to improve the proactivity and ability of our models”
Highlight experience building robust evaluations for ML model improvements
— “Build robust evaluations for tracking modeling improvements”
Showcase cross-functional collaboration in AI product development settings
— “Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

research and develop improvements to models
build robust evaluations
collaborate with research and product teams

Typical background

strong ML engineering skillsresearch experience

Skills & requirements

Required

Machine LearningReinforcement LearningPost-training MethodsEvaluation Approaches

Preferred

PersonalizationProactivityLLM Post-training

Stack & domain

Machine LearningReinforcement LearningDataset CreationEvaluationsLlm Post-trainingEvaluation ApproachesPersonalizationProactivityAi ModelsChatgptLLMPost-training MethodsProduct-driven ResearchMl EngineeringDebuggingMl CodebaseTechnical SolutionsUser GoalsModeling ImprovementsCode ImplementationTestingDynamic And Technically Complex EnvironmentCuriosityCommunicationTeamworkProblem-solvingAdaptabilityAi ResearchPersonal Agi

About the role

Original posting from Openai via Ashby

About the Team
The Proactivity Research team, within OpenAI’s broader Personal AGI team, is focused on making our models in ChatGPT and future potential products proactive in ways that are truly useful. We're laying the technical foundations for AI that can anticipate what users need in real time, adapt as their goals and preferences shift, and build a deeper, evolving understanding of the person it's helping.
About the Role
As a Research Engineer / Scientist, you will research and develop improvements to our models’ personalization and agentic capabilities. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a highly personalized, collaborative, and proactive assistant.
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.
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 the proactivity and ability of our models to further user goals.
Build robust evaluations for tracking modeling improvements.
Design, implement, test, and debug code across our research stack.
Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product
You might thrive in this role if you:
Have a deep understanding of machine learning and machine learning applications.
Have a working knowledge of LLM post-training and evaluation approaches
Are passionate about, or have experience thinking about, personalization and enabling users to achieve their goals
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
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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.

Source: Openai careers (Ashby)