Research Scientist, Low Level Vision, Level 4
Research Scientist, Low Level Vision, Level 4
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Job Description
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 Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
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 Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
We are looking for a Research Scientist to join our Computational Imaging Research Team! The Computational Imaging team in NYC focuses on enhancing user experiences with our photo and short form video products and enabling our creators to make Lenses more easily in Lens Studio. Specifically our core focus in 2025 is on improving image and video quality (quality assessment video super resolution compression image editing) and animations (animation generation 3D avatar video generation for animations). Our research areas include computer vision computational imaging/photography 3d motion/video generation efficient VLMs and more.
What youll do:
Propose and develop innovative technologies to improve image and video quality such as (1) image/video super-resolution/restoration (2) image/video quality assessment or (3) advanced video codec
Enhance the quality of AIGC-generated videos using low-level vision techniques such as super-resolution and video frame interpolation
Contribute to image editing efficient vision-language model development etc.
Partner with product teams to deliver your technologies to hundreds of millions of Snapchatters
Work on projects including on-device neural network (NN) compression or non-NN methods speedup (optional)
Mentor research interns publish your research at top academic conferences or contribute to video compression standards
Knowledge Skills & Abilities:
Ability to identify and define impactful and challenging research and R&D projects in both academic and product contexts
Ability to generate innovative research and engineering ideas through out-of-the-box thinking
Strong prototyping implementation and programming skills (in Python and/or C) such as developing or accelerating NN methods (including dataset preparation architecture/loss design and NN compression) or non-NN methods.
Ability to stay at the forefront of low-level vision or computational photography in academia
Ability to remain at the cutting edge of advancements in the image/video quality industry
Fast learner with the ability to quickly adapt to new research topics such as image editing and efficient vision-language models
Strong technical foundation in deep learning and computer vision
Proven ability to lead and mentor interns PhD students and junior researchers as well as collaborate effectively with product teams
Strong and clear communication skills
Minimum Qualifications:
PhD in a technical field such as computer science/electrical engineering or equivalent years of experience
Hands-on experience with state-of-the-art neural network techniques such as CNNs Transformers GANs diffusion models VAEs and/or other emerging techniques
Industry or academic experience in defining and solving research problems in areas such as low-level vision or computational photography including image/video enhancement and assessment video compression image editing or efficient vision-language modeling
Preferred Qualifications:
Hands-on experience with on-device NN compression such as quantization pruning knowledge distillation NAS and/or other emerging techniques
Successful record of publication in top-tier academic conferences and journals (e.g. CVPR ICCV ECCV ICLR NeurIPS SIGGRAPH TPAMI) or contributions to video compression standards
Strong technical foundation in signal processing statistics machine learning and computer vision
Hands-on experience with state-of-the-art non-NN methods in image processing and their speedup on mobile devices such as Metal for iOS OpenGL or Vulkan for Android
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 an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets. If you have a disability or special need that requires accommodation please dont be shy and contact us at
If you have a disability or special need that requires accommodation please dont be shy and provide us some information.
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 an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).
Compensation
In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
The base salary range for this position is $173000-$259000 annually.This position is eligible for equity in the form of RSUs.
Employment Type
Full-Time
