Staff Research Scientist, User Modeling and Personalization

Snap Inc.

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WA
Salary
$229,000–$343,000 / yr
Posted
104 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $286k
$160k $363k
below market most similar roles pay here above market

This role pays more than 89% of similar roles. Most pay $194,875–$254,750 — the blue band above. At the midpoint, this role pays about $286k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 103 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 93 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Staff Research Scientist, User Modeling and Personalization

The Staff Research Scientist, User Modeling and Personalization joins the User Modeling and Personalization Research Team to invent new ways to model user behavior. This role involves formulating a research agenda in generative modeling, recommendation systems, information retrieval, and efficiency to build world-class user-centric ML systems. You will partner with engineering teams to translate research into business impact for real-world applications, build scalable research prototypes, and mentor interns and junior researchers. The position requires expertise in deep learning literature, Python, and PyTorch, with experience in distributed multi-node and multi-GPU ML model training. You will solve technical problems involving representation learning for structured graph data and applying language models to generative search, ranking, and personalization to deliver customized experiences for millions of users.

What does a Research Scientist earn?

Median $216250 from 45 postings across 16 companies.

See salary data

What you'll do

  • Formulate and derive a research agenda in user modeling, personalization, and generative modeling.
  • Partner with engineering teams to translate research into real-world ML applications for Snapchat.
  • Build scalable research prototypes and evaluate them in large-scale machine learning scenarios.
  • Mentor interns, students, and junior researchers on technical projects.
  • Publish research findings at top-tier computer science conferences and journals.
  • Develop and train distributed ML models for generative search, ranking, and personalization.

What we're looking for

  • PhD in computer science, machine learning, language technologies, or a related technical field like statistics or mathematics.
  • 5+ years of industry or postdoctoral experience.
  • Track record of publications in top machine learning, information retrieval, or language venues.
  • Strong technical knowledge of machine learning, information retrieval, personalization, language models, and deep learning literature.
  • Strong computer science fundamentals, problem-solving, and engineering skills in Python and PyTorch.
  • 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 (preferred).

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