Machine Learning Engineer II, Responsible AI

Summary

Pinterest is a visual discovery platform powered by advanced machine learning technologies across recommendations, ranking, content understanding, and search. The Machine Learning Engineer II will develop and deploy responsible AI solutions, identify and mitigate bias in machine learning applications, collaborate across engineering teams, mentor junior engineers, and help shape technical strategy for fairness and ethical AI.

Responsibilities

• 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 (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of 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 at the company to define and drive technical strategy in this area

Skills

• Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations
• Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) 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
• 2+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• Masters or PhD in Comp Sci or related fields
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country
• US based applicants only
• 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 realtime systems that process stream data
• Passion for applied research and the Pinterest product

Qualifications

Must Haves

• Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations
• Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) 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
• 2+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• Masters or PhD in Comp Sci or related fields
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country
• US based applicants only

Nice to Haves

• 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 realtime systems that process stream data
• Passion for applied research and the Pinterest product

Benefits

• The position is also eligible for equity.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.