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Sr. Data Scientist, AI/ML Systems

1 hour, 16 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark Machine Learning Python SQL
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 89

Description

  • Design and execute system-level measurement frameworks for foundational model improvements across offline benchmarks, online A/B experiments, and longitudinal tracking.
  • Define and own success metrics that quantify the value of foundational models.
  • Build causal inference methods to isolate the incremental impact of individual model components in a complex multi-model production system.
  • Partner cross-functionally with ML Engineers, Applied Scientists, Product Managers, ML Platform engineers, and Homefeed and Surface teams to embed measurement rigor in model launches.
  • Communicate key findings clearly and proactively to technical and non-technical stakeholders, including leadership.
  • Develop a deep understanding of Pinterest’s recommendation ecosystem across representation learning, retrieval, ranking, and reinforcement learning.
  • Use measurement insights to sharpen investment decisions, improve launch criteria, accelerate experimentation, and identify inefficiencies in the model ecosystem.

Requirements

  • 5+ years of experience analyzing data in a fast-paced, data-driven environment.
  • Experience applying scientific methods to solve real-world problems on web-scale data.
  • Hands-on experience in one or more of the following: ML system evaluation, recommender system measurement, A/B experimentation at scale, or causal inference.
  • Deep familiarity with large-scale recommendation or ranking systems and how representation learning, retrieval, ranking, and re-ranking stages interact in production.
  • Experience designing and executing A/B experiments for complex ML systems, including multi-surface holdouts, metric decomposition, long-run effect estimation, and interference/spillover mitigation.
  • Strong quantitative programming skills in Python and data manipulation skills in SQL/Spark.
  • Experience with ML pipelines, feature stores, and large-scale experimentation platforms.
  • Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership in a fast-moving research-to-production environment.
  • Excellent written and verbal communication skills.
  • Team-oriented mindset with the ability to partner across teams.
  • This position is not eligible for relocation assistance.

Benefits

  • Base salary range of $139,764 to $287,749 USD for US-based applicants.
  • Eligible for equity.
  • Access to Pinterest culture and benefits information for the role.
  • Equal opportunity employer with inclusive hiring practices and accommodation support during the application process.

Interested in this position?

Apply directly on the company website

Apply Now

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