P

Pinterest

Runs an app for finding and saving visual ideas

Machine Learning Engineer 2 - Responsible AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Extensive real-world experience applying advanced machine learning methods to production systems, with a strong track record in responsible technology spanning fairness, ethics, and broader societal considerations.
  • Deep familiarity with cutting-edge machine learning architectures, including transformer-based models, two-tower architectures, and large language models, 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, bridging state-of-the-art research with tangible product impact.
  • At least 2 years of work experience in engineering teams that build large-scale machine-learning-driven user-facing products.
  • A Master's or PhD in Computer Science or a related field.

Responsibilities

  • Execute projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of machine learning applications at Pinterest, including generative AI.
  • Collaborate with other engineering teams, including trust and safety, user modeling, and content understanding, to leverage their platforms and signals and collaborate on adopting and evaluating Responsible AI practices and machine learning fairness tooling across Pinterest.
  • Mentor junior engineers on the Responsible AI team and across the company in the responsible AI space.
  • Work with the team and senior leaders to define and drive technical strategy in this area.

Desired Qualifications

  • Publications at top machine learning conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with large-language-model-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 research and the Pinterest product.

About the Company

Pinterest

Runs an app for finding and saving visual ideas

Pinterest runs a visual search and discovery app where people look for ideas in areas like cooking, home decor, fashion, and travel, then save the images they like to themed collections called boards. In 2012 it became the fastest standalone website to reach 10 million monthly US visitors, according to measurement firm comScore. Each saved image, called a Pin, links back to its source, such as a recipe or a product page, and people search with words or with a photo to find similar ideas and things to buy. Brands pay to show ads among Pins in feeds and search results, and Pinterest also sells ads on streaming TV. It launched in 2010 and is based in San Francisco, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

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