Snap Inc.
Research Scientist, Low Level Vision, Level 4
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Research Scientist, Low Level Vision, Level 4
role at
Snap Inc.
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 Company’s 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.
Job Description Snap Research serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products.
We are looking for a Research Scientist to join our Computational Imaging Research Team in NYC. The Computational Imaging team 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. In 2025 our core focus will be on improving image and video quality (quality assessment, video super‑resolution, compression, image editing), and animations (animation generation, 3D avatar, video generation for animations). Research areas include computer vision, computational imaging/photography, 3d motion/video generation, efficient VLMs, and more.
Responsibilities
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 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.
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.
Compensation In the United States, work locations are assigned a pay zone. The starting salary range for this position is $147,000‑$220,000 annually in Zone C, $164,000‑$246,000 in Zone B, and $173,000‑$259,000 in Zone A. The position is also eligible for equity in the form of RSUs.
Equal‑Opportunity Employer Snap Inc. is proud to be an equal‑to‑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 identity, gender expression, pregnancy, childbirth, 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 contact us at accommodations-ext@snap.com.
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Research Scientist, Low Level Vision, Level 4
role at
Snap Inc.
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 Company’s 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.
Job Description Snap Research serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap’s existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap’s products.
We are looking for a Research Scientist to join our Computational Imaging Research Team in NYC. The Computational Imaging team 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. In 2025 our core focus will be on improving image and video quality (quality assessment, video super‑resolution, compression, image editing), and animations (animation generation, 3D avatar, video generation for animations). Research areas include computer vision, computational imaging/photography, 3d motion/video generation, efficient VLMs, and more.
Responsibilities
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 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.
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.
Compensation In the United States, work locations are assigned a pay zone. The starting salary range for this position is $147,000‑$220,000 annually in Zone C, $164,000‑$246,000 in Zone B, and $173,000‑$259,000 in Zone A. The position is also eligible for equity in the form of RSUs.
Equal‑Opportunity Employer Snap Inc. is proud to be an equal‑to‑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 identity, gender expression, pregnancy, childbirth, 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 contact us at accommodations-ext@snap.com.
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