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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Research Scientist, User Modeling and Personalization - **Company:** Snap Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $229,000.0 - $343,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Information Retrieval, Python (Programming Language), Machine Learning, Language Modeling, Node.Js, Open Source Technology, Recommender Systems, Tensorflow, Google Cloud, Pytorch, Deep Learning, HybridCloud, Information Technology, Machine Learning Operations - **Published:** July 11, 2026 - **Apply:** https://dejobs.org/x/x/C0B250C003F24A909EBBE70FF84A5319/job/ ## About the Role * Strong technical knowledge of machine learning, information retrieval, personalization, language and state-of-the-art deep learning literature * Demonstrated ability in defining, leading and executing challenging research projects * Strong computer science fundamentals, problem-solving and engineering skills (Python, PyTorch) * Pragmatic, hands-on approach to research with a drive to build working prototypes rather than solely rely on theoretical exploration * Proven ability to mentor interns, students and junior researchers, * PhD in computer science, machine learning, language technologies or related technical field such as statistics, mathematics, or equivalent years of experience * 5+ years of industry or postdoctoral experience * Track record of publications in top machine learning, information retrieval or language venues (e.g. ICLR, NeurIPS, ICML, KDD, RecSys, SIGIR, WSDM, ACL, COLM, etc.) * Experience with distributed (multi-node and multi-GPU) ML model training, inference and experimentation * Experience applying language models in the context of generative search, ranking and/or personalization, * Experience with large-scale machine learning problems in an academic or industrial research lab, or equivalent open-source experience * Experience with large-scale data processing, collection or synthesis using machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure * Familiarity with post-training, preference optimization, working with large-scale search or recommendation interaction data, and recommender systems * Demonstrated ability to transform cutting-edge research into tangible product improvements ## Description We are looking for a Research Scientist to join our User Modeling and Personalization Research Team! Our team's mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap. Our work spans the domains of generative and language models for information retrieval, efficient large-scale recommender systems, and representation learning for structured graph data. Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them. What you'll do: * Formulate and derive a research agenda in the user modeling and personalization domains, including generative modeling, recommendation systems, information retrieval, and efficiency * Partner with engineering teams to translate research to business impact for real-world ML applications used by millions of Snapchatters * Build scalable research prototypes and evaluate them in large-scale machine learning scenarios * Share your expertise with teammates and interns * Publish your findings at top conferences ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Stop using Node.js like in 2020! 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