# Machine Learning Engineer, Monetization Engineering

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $163,418-$285,982 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/6121543?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e808b173-a4b

## Description

We are seeking a Machine Learning Engineer to join the Monetization ML Engineering team at Pinterest. As a Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

You will:

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

- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces

- Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval

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

- Keep up with industry trends in recommendation systems

- Leverage LLMs to enhance content understanding

Requirements:

- 2+ years of industry experience applying machine learning methods

- Degree in computer science, machine learning, statistics, or related field

- 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:

- 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 that process stream data

- Passion for applied ML and the Pinterest product

- Background in computational advertising

The base salary range for this position is $163,418-$285,982 USD.

## Skills

### Required
- machine learning
- deep learning
- data processing pipelines
- large-scale machine learning systems
- big data technologies
- recommender systems

### Nice to have
- Cursor
- Copilot
- Codex
- LLM-powered productivity tools
- scalable real-time systems
- computational advertising

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/6121543?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)