Applied Data Scientist, Personalization & Machine Learning

About the Position

Applied Data Scientist, Personalization & Machine Learning

San Francisco

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About the Team

We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production.

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Responsibilities

In this role, you will:

• Identify opportunities with product and business partners, define the decision a model will inform, and prioritize work by user value, feasibility, and expected impact.
• Build datasets, features, reproducible training workflows, and models. You’ll use a combination of tools appropriate to the task at hand.
• Translate predictions into product actions. Design experiments and use causal reasoning to establish whether those actions improve user and business outcomes.
• Partner with engineers on integration, serving or batch scoring, monitoring, and rollout. Stay involved through launch and iteration.
• Explain results and limitations clearly, document decisions, and build reusable methods that other teams can adopt.

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Requirements

You might thrive in this role if you:

• Have built and evaluated applied ML systems that influenced a product or business decision, with clear ownership of the modeling work.
• Write effective Python and SQL and can investigate imperfect data, debug models, and make pragmatic implementation choices.
• Build and schedule production scoring pipelines using dbt, airflow, and flyte.
• Understand supervised learning, evaluation, experimentation, and the difference between predicting an outcome and changing it.
• Can scope ambiguous problems, work across disciplines, and explain technical tradeoffs to colleagues with different backgrounds.
• Are motivated by helping people use AI effectively and by learning unfamiliar product domains.
• Are excited to take on challenging, impactful ML problems across multiple areas.
• Have experience with recommendation systems, personalization, growth, retention, lifetime value, or treatment-effect modeling would be useful. We welcome candidates whose relevant experience comes from other domains.

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About the Company

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.

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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.