Research Scientist, Low Level Vision
Snap Inc.
full-time
Posted on:
Location Type: Office
Location: New York City • California, New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $173,000 - $259,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Propose and develop innovative technologies to improve image and video quality (super-resolution/restoration, quality assessment, advanced codecs)
- Enhance the quality of AIGC-generated videos using low-level vision techniques such as super-resolution and frame interpolation
- Contribute to image editing, efficient vision-language model development, and related research areas
- Partner with product teams to deliver technologies to hundreds of millions of Snapchatters
- Work on projects including on-device neural network compression or non-NN methods speedup for mobile
- Mentor research interns and collaborate with engineers and product teams
- Publish research at top academic conferences or contribute to video compression standards
Requirements
- PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience
- Strong theoretical foundations of generative AI and practical experience training, tuning, and modifying generative models
- Strong prototyping, implementation, and programming skills (in Python and/or C++)
- Experience developing or accelerating NN methods including dataset preparation, architecture/loss design, and NN compression
- Hands-on experience with on-device NN compression (quantization, pruning, knowledge distillation, NAS) preferred
- Hands-on experience with state-of-the-art non-NN methods in image processing and speedup on mobile (Metal, OpenGL, Vulkan) preferred
- Strong technical foundation in signal processing, statistics, machine learning, and computer vision
- Ability to identify and define impactful research and R&D projects in academic and product contexts
- Proven ability to lead and mentor interns, PhD students, and junior researchers
- Successful record of publication in top-tier academic conferences or contributions to video compression standards preferred
- Ability to stay at the forefront of low-level vision or computational photography
- Strong and clear communication skills
- Fast learner with ability to quickly adapt to new research topics
- Ability to work in an office 4+ days per week ("Default Together" policy)
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
- eligible for equity in the form of RSUs
- accommodations for disabilities upon request
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
super-resolutionframe interpolationimage editinggenerative AIPythonC++neural network compressionquantizationpruningcomputer vision
Soft skills
mentoringcollaborationcommunicationleadershipadaptabilityresearch project identificationfast learning
Certifications
PhD in computer sciencePhD in statisticsPhD in mathematicsPhD in machine learning