Research Scientist, Language for Personalization

Snap Inc.

. Lead research projects in user modeling and personalization, including generative modeling, recommendation systems, information retrieval, and efficiency .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $173,000 - $259,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in leading research projects in user modeling and personalization, with a strong foundation in machine learning and information retrieval. Proven ability to build scalable prototypes and mentor junior researchers while publishing findings in top-tier conferences.

Highest-signal resume keywords

PhD In Computer ScienceMachine Learning ExpertiseProficiency In PyTorchExperience With Distributed Machine LearningTrack Record Of Publications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative ModelingRecommendation SystemsInformation RetrievalDeep LearningPython ProgrammingModel TrainingModel InferenceData ProcessingCloud SolutionsPreference Optimization

Soft Skills

MentoringProblem-SolvingCollaboration

Tools & Technologies

Google CloudAWSAzure

Industry Keywords

Large-Scale Machine LearningUser PersonalizationResearch PrototypesCutting-Edge ResearchRecommender Systems

Tech Stack

Tools & technologies

AWSAzureCloudNode.jsPythonPyTorch

About the role

Key responsibilities & impact

Lead research projects in user modeling and personalization, including generative modeling, recommendation systems, information retrieval, and efficiency
Build scalable research prototypes and evaluate them in large-scale machine learning scenarios
Share expertise with teammates and interns
Publish findings at top conferences
Partner with engineering teams to deliver technology to millions of Snapchatters

Requirements

What you’ll need

PhD in a related technical field such as computer science, machine learning, or mathematics or equivalent years of practical work experience
Strong technical knowledge of machine learning, information retrieval, personalization, 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
Strong familiarity with PyTorch
Hands-on experience with distributed (multi-node and multi-GPU) machine learning model training, inference and experimentation
Experience applying language models in the context of generative search, ranking and/or personalization
Track record of publications (first-author preferred) in top machine learning, information retrieval or language venues
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, large-scale search or recommendation interaction data, and recommender systems
Demonstrated ability to transform cutting-edge research into tangible product improvements

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages that let employees share in Snap’s long-term success
Equity in the form of RSUs