below marketmost similar roles pay hereabove market
This role pays more than
66%
of similar roles. Most pay
$157,758–$236,437
— the blue band above.
At the midpoint, this role pays about
$216k
versus about
$197k
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.
The Research Scientist, Research joins the User Modeling and Personalization Research Team to invent new ways to model user behavior and build world-class user-centric machine learning systems. You will lead research projects in generative modeling, recommendation systems, information retrieval, and efficiency while building scalable research prototypes for large-scale machine learning scenarios. Key responsibilities include mentoring interns, publishing findings at top conferences, and partnering with engineering teams to deliver technology to millions of users. The role requires strong computer science fundamentals, problem-solving skills, and proficiency in Python and PyTorch. You will work on technical problems involving generative and language models for information retrieval, efficient large-scale recommender systems, and representation learning for structured graph data to deliver customized experiences.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Lead research projects in user modeling, personalization, generative modeling, and recommendation systems.
Build scalable research prototypes and evaluate them in large-scale machine learning scenarios.
Partner with engineering teams to deploy research technology to millions of Snapchat users.
Publish research findings at top-tier computer science conferences and journals.
Mentor interns, students, and junior researchers on technical projects.
Train and experiment with distributed multi-node and multi-GPU machine learning models.
Apply language models to generative search, ranking, and personalization tasks.
What we're looking for
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.
Strong computer science fundamentals, problem-solving, and engineering skills in Python and PyTorch.
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.
Proven ability to define, lead, and execute challenging research projects and mentor interns, students, and junior researchers.
Track record of publications in top machine learning, information retrieval, or language venues (first-author preferred).
Experience with large-scale machine learning problems, data processing, or preference optimization (preferred).
Machine Learning
Python
PyTorch
Deep Learning
Information Retrieval
Recommender Systems
Multi-GPU
Google Cloud
AWS
Azure
Representation Learning
Graph Data
Preference Optimization
Generative AI
Machine Learning
Deep Learning
Computer Vision
Computer Graphics
Natural Language Processing
Diffusion Models
Large Language Models
Multimodal Foundation Models
Video Generation
Video Editing
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile
Machine Learning
Digital Signal Processing
Estimation Theory
Controls
Numerical Analysis
Differential Equations
Linear Algebra
Optimization
Scientific Computing
Agile
Software Design
Modeling and Simulation
Compute Clusters
Statistics
Probability