Data Scientist, Personalization & Machine Learning

Data Science - San Francisco

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.

About the Role

We’re looking for a data scientist who can enter an unfamiliar product area, find a useful ML application, and turn it into a working product intervention. You will own the work from problem definition and data preparation through modeling, experimentation, and launch evaluation.

Projects will include personalization, next-best-action recommendations, lifecycle management, promotion targeting, and models of retention and customer lifetime value. You will help identify opportunities, build proofs of concept, evaluate, and iterate.

In this role, you will:

• Identify opportunities with product and business partners, 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.

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.

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 the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

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

$347K – $445K

The base pay offered may vary depending on multiple individualized factorsance-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.