# Machine Learning Engineer II, Responsible AI

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $138,905-$285,982 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8162046?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4fc65c53-420

## Description

We're looking for a Machine Learning Engineer II to join the Responsible AI team in the Advanced Technologies Group (ATG) at Pinterest. The team focuses on developing and applying state-of-the-art AI and ML to improve Pinterest's products and services.

As a Machine Learning Engineer II, you will:

- Execute on projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest, including generative AI.

- Collaborate with other engineering teams to leverage their platforms and signals and work with them to adopt and evaluate Responsible AI practices and ML Fairness tooling across Pinterest.

- Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.

- Work with the team and senior leaders to define and drive technical strategy in this area.

We are looking for candidates with:

- Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology.

- Deep familiarity with cutting-edge ML architectures and their applications in large-scale Search and Recommender Systems.

- Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale.

- 2+ years of experience working on large-scale ML-driven user-facing products.

- Master's or PhD in Computer Science or related fields.

Nice to have:

- Publications at top ML conferences.

- Experience using AI coding assistants for development, debugging, testing, and refactoring.

- Familiarity with LLM-powered productivity tools.

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

The base salary range for this position is $138,905-$285,982 USD.

## Skills

### Required
- Machine Learning
- AI
- Fairness
- Ethics
- ML Engineering

### Nice to have
- Publications at top ML conferences
- AI coding assistants
- LLM-powered productivity tools
- Scalable real-time systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8162046?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)