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Machine Learning Engineer (Responsible AI)

Pinterest

Skills

Required

  • ML architectures
  • transformer-based models
  • 2-tower architectures
  • LLMs

Preferred

  • Cursor
  • Copilot
  • Codex
  • debugging
  • ML

Join Pinterest's Advanced Technologies Group (ATG) as a Machine Learning Engineer focused on Responsible AI. In this role, you will work on cutting-edge AI and ML applications, collaborate with various engineering teams, mentor junior engineers, and drive technical strategy in the Responsible AI space. You should have a Master's or PhD in Computer Science or related fields, 2+ years of experience in building large-scale ML-driven products, and a strong track record in responsible technology.

Participate in projects focused on responsible AI, identifying and mitigating bias in machine learning applications.

Passion for applied research and the Pinterest product

USD 138,905 - 285,982

About Pinterest

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

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

Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

Responsibilities

  • Collaborate with engineering teams to adopt and evaluate Responsible AI practices and ML Fairness tooling.
  • Mentor junior engineers and contribute to defining and driving technical strategy in the Responsible AI area.

Requirements

  • Masters or PhD in Comp Sci or related fields
  • 2+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
  • 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
  • Publications at top ML conferences

Preferred

  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Expertise in scalable realtime systems that process stream data

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