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Staff Machine Learning Engineer, Applied Research

Pinterest•San Francisco, CA, US; Remote, US•🌍 Remote
Full-timeLead
👁️ 5 views•📝 0 applications•Posted 8/3/2026•Expires 9/23/2026

This role is no longer accepting external applications

It closed on 9/23/2026. The full description is kept below for reference. You can express your interest directly via ResumeKart below to be placed in our priority candidate showcase for recruiters hiring for similar roles.

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Job Description

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . At Pinterest Labs , you'll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling,

Required Skills

C++Cross-functional CollaborationJavaMachine LearningNLPPythonPyTorchRecruitmentStatisticsTensorFlow

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