ML Infrastructure Scientist — Production & Causal ML

Pinterest; United States; On-site; USD 114,297 - 235,319; Full time

Job summary

Pinterest is seeking a Data & Applied Scientist to advance ML measurement, feature understanding, and causal inference at scale. You will design production ML systems, establish rigorous standards, and collaborate cross-functionally to deliver durable platform capabilities across the ML org.

The role focuses on productionizing research workflows, building self-serve tooling, and partnering with ML engineers and product teams to improve model quality and business outcomes.

Qualifications

• 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer with ML production experience.
• Strong Python skills; experience with PyTorch or equivalent DL frameworks; familiarity with distributed compute (Spark, Ray).
• Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization; not just solving one-off problems.
• Deep ML theory knowledge with strong fundamentals for reasoning about ML models from first principles.
• 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.

Responsibilities

• Translate research-grade DS workflows into production ML pipelines using Airflow, WandB & Ray.
• Apply and productionize causal inference methods to address high-stakes measurement questions at scale.
• Partner with ML engineers and product teams to identify opportunities for tooling, metrics, and measurement methods.
• Leverage metadata and signals to build data-driven frameworks improving platform efficiency.
• Design and build centralized ML platform tooling for feature and model creation, evaluation and trust.

Skills

Python

PyTorch

Ray

Airflow

WandB

Distributed compute

Jenkins

Prefect

Education

Bachelor’s/Master’s degree in CS or equivalent

Tools

Airflow

WandB

Ray

Jenkins

Prefect

Job description

Pinterest is seeking a Data & Applied Scientist to advance ML measurement, feature understanding, and causal inference at scale. You will design production ML systems, establish rigorous standards, and collaborate cross-functionally to deliver durable platform capabilities across the ML org.

The role focuses on productionizing research workflows, building self-serve tooling, and partnering with ML engineers and product teams to improve model quality and business outcomes.