Machine Learning Engineer (Responsible AI)

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. - 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.

- 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 - 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 - Publications at top ML conferences - 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 - Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration - Passion for applied research and the Pinterest product