Machine Learning Engineer, Model Behavior

About the Team

The Model Behavior team shapes how our models interact with people. We view the model as the product itself, aiming for intuitive experiences that exceed user expectations and feel like magic.

The team partners closely with research and product teams across the company to improve the real-world usefulness of our models at scale. Our work directly impacts millions of users globally and contributes to OpenAI's mission of broadly distributing safe AI.

About the Role

As machine learning engineer, 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. An ideal candidate is passionate about applying both (1) creative and robust engineering approaches and (2) internally proven state-of-the-art research methods to bring out the magic in OpenAI’s models.

Some experience working with large language models is a bonus.

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:

• Do the highest-leverage work to improve models for our users at scale — including the bullet points below.

• Use the latest research methods to understand and act on (1) how users use our models and (2) where our models are falling short.

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

• Build robust evaluations for defining and tracking improvements in model behavior.

• Own and support experiments that tweak model behavior.

You might thrive in this role if you:

• Are willing to own important problems end-to-end, while also having good delegation skills and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a working knowledge of relevant models, and building evaluations for model capability improvements.

• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new systems and tools

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed

• Are excited about going deep in the weeds of disparate data points to identify patterns that will inform how we make life better for users  

• As a bonus, have understanding of AI/ML workloads or working knowledge and experience in building evaluations for large language and multimodal models.

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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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

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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.