Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
1001 - 5000 employees
Staff Machine Learning Engineer - Responsible AI
March 27
🏄 California – Remote
💵 $208.1k - $364.3k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 482 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.
1001 - 5000 employees
📋 Description
•Millions of people across the world come to Pinterest to find new ideas every day. •Our mission is to help those people find their inspiration. •Creating a life you love means finding a career that celebrates unique perspectives. •The Responsible AI team is part of the Advanced Technologies Group (ATG). •ATG’s goal is to keep Pinterest at the forefront of machine learning technology. •It is an applied team that works horizontally across the company. •The product is powered by state of the art ML algorithms. •Pinterest is known for being a positive and inspirational place on the internet. •The Responsible AI team collaborates across the company on various initiatives. •We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space.
🎯 Requirements
•5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products •2+ years experience leading cross-team engineering efforts. •Masters or PhD in Comp Sci or related fields •Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences. •Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows. •Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.
🏖️ Benefits
•Information regarding the culture at Pinterest and benefits available for this position can be found here.
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