Lead Research Scientist, Personalization & Retrieval

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

Benefits offered by this job

Equity RSUs

Paid parental leave

Medical coverage

Mental health support

Job summary

Snap Inc. is seeking a Research Scientist for its User Modeling and Personalization Research Team to push the boundaries of how people interact with Snap's products through advanced ML methods.

You will lead projects in generative modeling, information retrieval, and recommender systems, build scalable prototypes, and collaborate with engineers to deploy solutions at scale for millions of users.

Qualifications

• PhD in a related technical field such as computer science, machine learning, or mathematics or equivalent years of practical work experience
• Strong familiarity with PyTorch, and 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 ML, information retrieval or language venues (e.g. ICLR, NeurIPS, ICML, KDD, RecSys, SIGIR, WSDM, ACL, COLM, etc.)

Responsibilities

• Lead research projects in the user modeling and personalization domains, including generative modeling, recommendation systems, information retrieval, and efficiency
• 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
• Partner with engineering teams to deliver your technology to millions of Snapchatters

Skills

Machine learning

Information retrieval

Personalization

Deep learning

Python

PyTorch

Distributed training

Mentoring

Education

PhD in CS/ML/math

Tools

PyTorch

Google Cloud

AWS

Azure

Job description

Snap Inc. is seeking a Research Scientist for its User Modeling and Personalization Research Team to push the boundaries of how people interact with Snap's products through advanced ML methods.

You will lead projects in generative modeling, information retrieval, and recommender systems, build scalable prototypes, and collaborate with engineers to deploy solutions at scale for millions of users.