Research Scientist - Machine Learning for Science

Position Overview

Snap is a technology company that contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s core products include a visual messaging app that enhances relationships, an augmented reality platform powering AR across Snapchat and other services, and an innovation engine for driving breakthrough ideas. At Creative Vision, where we focus on making everyone into a creator, we leverage technology to understand the world and provide creative generation and manipulation tools for efficient real-time experiences. We are looking for a Research Scientist to join the Creative Vision Research Team and help shape the future of creative technologies.

Key Responsibilities

• Lead and execute a multi-year research agenda
• Work on large-scale multimodal generative projects
• Share your expertise with teammates and interns
• Publish your work to top conferences
• Partner with engineering teams to deliver technology to millions of Snapchatters

Required Qualifications

• Strong technical knowledge of statistics, machine learning, computer vision, and state-of-the-art deep learning literature
• Demonstrated ability in defining, leading, and executing challenging research projects
• Robust computer science fundamentals, problem-solving skills, and proficiency in programming (Python, C, C++)
• Ability to lead interns, PhD students, and junior researchers by defining project scopes and providing detailed technical guidance
• PhD in a related technical field such as computer science, statistics, mathematics, or machine learning, or equivalent years of experience
• Strong theoretical foundations in generative AI with practical experience in training, tuning, and modifying generative models
• A track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH)

Preferred Qualifications

• Experience with multimodal machine learning involving images, videos, audio, text, and speech
• Experience with 3D computer vision, including non-rigid and articulated 3D registration and synthesis
• Familiarity with efficient generative AI techniques such as quantization, pruning, distillation, efficient training, and parameter- and data-efficient learning
• Experience with low-level vision techniques including image/video quality assessment, compression, restoration, and super-resolution
• Experience with 3D articulated human motion generation
• Proficiency with the CUDA framework and low-level optimization of generative pipelines for training and inference
• A strong theoretical background in generative modeling and diffusion models

Benefits & Perks

• Benefits: Paid parental leave
• Benefits: Comprehensive medical coverage
• Benefits: Emotional and mental health support programs
• Compensation: Competitive packages that let you share in Snap’s long-term success
• Equity: Eligibility for RSUs