Research Scientist, Personalization & Generative ML

SNAP, Inc.; Santa Monica (CA); On-site; USD 173,000 - 259,000; Full time

Benefits offered by this job

Equity in RSUs

Comprehensive medical coverage

Paid parental leave

Job summary

Snap Inc. is seeking a Research Scientist to join the User Modeling and Personalization Research Team.

You will lead cutting-edge research on modeling user behavior and building world-class ML systems that power personalized experiences across Snapchat, while partnering with engineering teams to deploy to millions of Snapchatters. The role emphasizes publishing at top conferences, mentoring interns, and contributing to scalable, practical prototypes that bridge academia and product impact.

Qualifications

• PhD in a related technical field or equivalent years of practical work experience.
• Strong familiarity with PyTorch and distributed multi-node and multi-GPU training, inference and experimentation.
• Experience applying language models in generative search, ranking or personalization.
• Track record of publications in top ML, information retrieval or language venues (ICLR, NeurIPS, ICML, KDD, RecSys, SIGIR, WSDM, ACL, COLM).

Responsibilities

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

Skills

Machine learning

Information retrieval

Personalization

Deep learning

Python

PyTorch

Mentoring

Education

PhD in computer science / ML / mathematics

Tools

PyTorch

Job description

Snap Inc. is seeking a Research Scientist to join the User Modeling and Personalization Research Team.

You will lead cutting-edge research on modeling user behavior and building world-class ML systems that power personalized experiences across Snapchat, while partnering with engineering teams to deploy to millions of Snapchatters. The role emphasizes publishing at top conferences, mentoring interns, and contributing to scalable, practical prototypes that bridge academia and product impact.