Senior Staff Data & Applied Scientist – GenAI, Labeling Platforms
Palo Alto, California, United States of America
Full Time
2 weeks ago
$195,738 - $402,990 USD
No Visa Sponsorship
Key skills
AIMLGenerative AIGenAILeadershipCollaboration
About this role
Role Overview
Drive 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 rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
Partner with engineering, product, and data science teams to shape roadmaps and productionize successful approaches
Establish strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
Create reusable methods and frameworks that can scale across teams and use cases
Mentor other scientists and contribute technical leadership across the organization
Requirements
10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions
Proven track record of writing high-quality code and using technical work to influence product or platform direction
Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment
Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities
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.
Benefits
Information regarding the culture at Pinterest and benefits available for this position can be found here.