# Machine Learning Engineer II, Responsible AI

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $139k – $286k/yr
**Experience:** 2+ years
**Skills:** Machine Learning, Responsible Ai, Machine Learning Fairness, Generative AI, Transformer Models, Two-Tower Architectures, LLMs, Search Systems, Recommender Systems, Python, Real-Time Systems, Stream Processing, SQL, Ai Coding Assistants
**Posted:** 2026-08-27

> Develop and deploy responsible AI and machine learning fairness solutions across Pinterest’s large-scale, user-facing products, including generative AI, search, and recommendations. The role requires production ML experience, expertise in fairness interventions and modern architectures, and a master’s or PhD in computer science or a related field.

## Job Description

## Responsibilities
- Execute responsible AI projects to identify, avoid, and mitigate bias across machine learning applications, including generative AI.
- Collaborate with trust and safety, user modeling, and content understanding engineering teams to leverage platforms and signals.
- Drive adoption and evaluation of responsible AI practices and machine learning fairness tooling across Pinterest.
- Mentor junior engineers on responsible AI.
- Define and drive technical strategy with the team and senior company leaders.

## Requirements
- Extensive real-world experience applying advanced machine learning methods to production systems, with experience spanning fairness, ethics, and broader societal considerations.
- Deep familiarity with transformer-based models, two-tower architectures, large language models, and large-scale search and recommender systems.
- Experience measuring, deploying, and refining fairness interventions and responsible AI solutions at scale.
- Experience bridging machine learning research with tangible product impact.
- 2+ years of experience working on engineering teams building large-scale, ML-driven user-facing products.
- Master’s or PhD in computer science or a related field.

## Nice to Have
- Publications at top machine learning conferences.
- Experience using Cursor, GitHub Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
- Familiarity with LLM-powered tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
- Expertise in scalable real-time systems processing stream data.
- Passion for applied research and Pinterest’s product.

## Compensation
- Base salary: $138,905–$285,982 USD.
- Equity eligibility.

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