# Data Scientist II, ML Infrastructure

**Company**: Pinterest
**Location**: Palo Alto, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $114,297-$235,319 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8071670?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f220dd46-4a7

## Description

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.

## Skills

### Required
- Python
- PyTorch
- distributed compute
- ML production
- workflow management

### Nice to have
- Ray
- Spark

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8071670?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)