# Sr. Machine Learning Engineer, Monetization Engineering

**Company**: Pinterest
**Location**: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $189,721-$332,012 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/6121551?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0b5a4347-f37

## Description

About this role:

We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

Key responsibilities include:

- Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest

- Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)

- Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval

- Working in a high-impact environment with quick experimentation and product launches

- Keeping up with industry trends in recommendation systems

Requirements:

- 2+ years of industry experience applying machine learning methods

- Degree in computer science, statistics, or related field; or equivalent experience

- End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies

- Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

- M.S. or PhD in Machine Learning or related areas

- Publications at top ML conferences

- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring

- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

- Expertise in scalable real-time systems that process stream data

- Passion for applied ML and the Pinterest product

- Background in computational advertising

Relocation Statement:

This position is not eligible for relocation assistance.

## Skills

### Required
- Machine Learning
- Deep Learning
- Data Processing Pipelines
- Large-Scale Machine Learning Systems
- Big Data Technologies
- Recommender Systems
- Ads Ranking
- Retrieval
- Targeting
- Marketplace Systems

### Nice to have
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants
- Familiarity with LLM-powered productivity tools
- Expertise in scalable real-time systems
- Passion for applied ML and the Pinterest product
- Background in computational advertising

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/6121551?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)