Research Scientist, Language for Personalization

Snap Inc.; Santa Monica (CA); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

Snap Inc. is seeking a Research Scientist to join our User Modeling and Personalization Research Team in Santa Monica.

You will lead research projects, build scalable prototypes, and publish findings at top conferences while partnering with engineering to deploy tech to millions of Snapchatters. You should have a PhD or equivalent experience in CS/ML, strong deep learning, information retrieval and language modeling expertise, and a pragmatic hands-on approach to turn research into product

Qualifications

• PhD in a related technical field or equivalent practical experience.
• Strong familiarity with PyTorch and distributed multi-node multi-GPU training.
• Experience applying language models to generative search, ranking, or personalization.
• Track record of publications in top ML/IR venues (first-author preferred).

Responsabilités

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

Connaissances

Python

PyTorch

ML

Information Retrieval

Personalization

Distributed Training

Formation

PhD in CS/ML/Math

Outils

Google Cloud

AWS

Azure

Description du poste

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly‑owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

Snap Research serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products. We also frequently publish our work at top conferences and journals in computer science and related fields.

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:

• 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

Knowledge, Skills, & Abilities:

• 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

Minimum 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 machine learning, information retrieval or language venues (e.g. ICLR, NeurIPS, ICML, KDD, RecSys, SIGIR, WSDM, ACL, COLM, etc.)

Preferred Qualifications:

• 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

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be