Data Scientist II, ML Infrastructure @Pinterest

Overview

The Data Scientist II, ML Infrastructure role at Pinterest focuses on enhancing ML measurement systems, feature understanding, and causal inference at scale. The position involves significant technical contributions in areas like production feature importance platforms and data-driven approaches to ML infrastructure efficiency.

Key Responsibilities

• Translate research-grade data science workflows into production ML pipelines using Airflow, WandB, and Ray, while establishing reusable patterns for other teams.
• Apply and productionize causal inference methods to address measurement questions beyond experimental capabilities, building self-serve tooling for causal insights.
• Collaborate with ML engineers and product teams to improve tooling, metrics, and measurement methods to enhance model quality and business outcomes.
• Utilize Pinterest's metadata and engagement signals to create frameworks that boost platform efficiency.
• Design and build centralized ML platform tooling for feature and model evaluation and trust.

Requirements

• 2+ years of experience as an applied scientist, ML engineer, research scientist, or software engineer with significant ML production experience.
• Strong Python skills; experience with PyTorch or similar frameworks; distributed compute familiarity (Spark, Ray).
• Passion for building tools that enhance the impact of an ML organization.
• Deep knowledge of ML theory and strong fundamentals.
• Proficiency in software development best practices including version control and reproducible ML pipelines.
• Experience with workflow management tools for ML pipeline orchestration.
• Bachelor’s/Master’s degree in a relevant field or equivalent experience.

Benefits

Additional information regarding the culture at Pinterest and benefits available for this position can be found on their website.

Location

Remote within the US, with in-office collaboration required 3-5 times per quarter.

How to Apply

To apply for this position, please follow the application instructions on the Pinterest career page.

Deadline

US-based applicants only.