Pinterest is a platform that inspires creativity and planning for lasting memories. As a Machine Learning Engineer, you will tackle challenges in machine learning and artificial intelligence, contributing to personalized experiences and large-scale recommendation systems.
Responsibilities
- Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven model
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
- Build content recommendation systems to power our push, email, and in-app notifications
- Work on state-of-the-art large-scale applied machine learning projects
- Scope and independently solve moderately complex problems
Skills
- Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
- Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Cross-functional collaborator and strong communicator
- Comfortable solving ambiguous problems and adapting to a dynamic environment
- Experience in research and in solving analytical problems
Benefits
Company Overview
Pinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.pinterest.com/.Company H1B Sponsorship
Pinterest has a track record of offering H1B sponsorships, with 377 in 2025, 311 in 2024, 215 in 2023, 314 in 2022, 202 in 2021, 166 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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