Data Scientist II, ML Infrastructure

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love.

This role focuses on advancing the science and systems behind ML measurement, feature understanding, and causal inference at scale.

What you'll do:

• Translate research-grade DS workflows into production ML pipelines using Airflow, WandB & Ray
• Apply and productionize causal inference methods using the production ML stack
• Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods
• Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks
• Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust

What we're looking for:

• 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer
• Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray)
• Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization
• Deep ML theory knowledge with extremely strong fundamentals
• Proficiency in software development best practices including version control, code review, and reproducible ML pipelines
• Experience with workflow management tools (Airflow, Prefect, Jenkins, or similar) for reliable ML pipeline orchestration
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience

Benefits:

• Salary range: $114,297-$235,319 USD
• Equity eligibility
• Flexible working model

We believe the workplace should be equitable, inclusive, and inspiring for every employee.