Sr. Data Scientist, GenAI & Labeling Platforms

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest brings millions of people the inspiration to create a life they love. Advancements in Generative AI have opened up a wealth of opportunities for improvements in productivity and labeling quality and weve only scratched the surface of its capabilities. Early results show strong promise for LLM-assisted labeling reducing time and cost focusing human rater efforts on higher-value problems and improving the accuracy of our learnings.

This role focuses on advancing the science and systems behind labeling evaluation and GenAI-enabled workflows. The work spans LLM-assisted labeling human-in-the-loop quality systems prompt and rubric design model evaluation and methods for improving the speed consistency and usefulness of judgment-based data.

Were looking for a strong senior individual contributor to execute high-impact technical work in this space partner cross-functionally to turn successful ideas into durable platform capabilities and grow with the team as the space evolves.

What youll do:

We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling this role you will:

• Execute high-impact scientific work across GenAI-powered labeling and evaluation systems
• Identify opportunities where LLMs and related methods can improve quality speed coverage and cost efficiency
• Develop prototypes that demonstrate value in areas such as prompt optimization task decomposition quality estimation routing and human-in-the-loop workflows
• Design experiments and measurement frameworks to evaluate model performance workflow outcomes and operational tradeoffs
• Partner with engineering product and data science teams to productionize successful approaches
• Apply standards for trustworthiness including bias measurement calibration quality control and responsible oversight
• Contribute to reusable methods and frameworks that can scale across teams and use cases
• Support more junior scientists and contribute to the technical health of the team

What were looking for:

• 6 years of combined post-graduate academic and industry experience (or PhD 3 years) applying scientific methods to real-world problems on large-scale data
• Strong hands-on experience as an individual contributor solving technically complex high-impact data science or ML problems
• Experience applying LLMs or other generative AI techniques to practical workflows systems or products
• Ability to turn ambiguous problems into rigorous analyses experiments and prototypes
• Track record of writing high-quality code and using technical work to influence product or platform direction
• Solid cross-functional collaboration skills and experience working effectively across teams
• Business and product sense with the ability to define meaningful success metrics
• Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
• Experience with labeling systems evaluation frameworks human judgment workflows or internal AI tooling is strongly preferred

Relocation Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

In-Office Requirement Statement:

• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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