Snap Inc.
Research Scientist, Low Level Vision, Level 4
Snap Inc., Palo Alto, California, United States, 94306
Overview
Snap Inc is a technology company focused on camera-powered products. Our core products include Snapchat, Lens Studio, and Spectacles. Snap Research serves as an innovation engine, tackling hard technical problems and exploring new technology to impact how people communicate and express themselves. We are looking for a Research Scientist to join the Computational Imaging Research Team in NYC, focusing on enhancing user experiences with our photo and short form video products and enabling creators to make Lenses more easily in Lens Studio. What you'll do
Propose and develop innovative technologies to improve image and video quality, such as image/video super-resolution/restoration, image/video quality assessment, or advanced video codecs 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 compression or non-NN methods speedup (optional) Mentor research interns, publish 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 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, and collaborate effectively with product teams Strong and clear communication skills Minimum Qualifications
PhD in a technical field such as computer science or 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 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 Policies and Benefits
"Default Together" Policy at Snap: We believe that being together in person helps us build our culture faster and work in the office 4+ days per week. Equal Opportunity and Accommodation: Snap is an equal opportunity employer and provides employment opportunities regardless of race, religion, color, national origin, disability, age, sex, gender, sexual orientation, or other protected classifications, in accordance with applicable laws. If you require accommodations, please contact accommodations-ext@snap.com. Benefits
Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success. Compensation
In the United States, work locations are assigned pay zones that determine the salary range. The starting pay is based on skills, experience, qualifications, location, and market conditions and may be negotiable within the range. Zone A (CA, WA, NYC): $173,000-$259,000; Zone B: $164,000-$246,000; Zone C: $147,000-$220,000. This position is eligible for equity in RSUs. Pay zones and ranges are subject to change. Additional company information, privacy policy, and related resources can be found at Snap careers pages and policy links.
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Snap Inc is a technology company focused on camera-powered products. Our core products include Snapchat, Lens Studio, and Spectacles. Snap Research serves as an innovation engine, tackling hard technical problems and exploring new technology to impact how people communicate and express themselves. We are looking for a Research Scientist to join the Computational Imaging Research Team in NYC, focusing on enhancing user experiences with our photo and short form video products and enabling creators to make Lenses more easily in Lens Studio. What you'll do
Propose and develop innovative technologies to improve image and video quality, such as image/video super-resolution/restoration, image/video quality assessment, or advanced video codecs 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 compression or non-NN methods speedup (optional) Mentor research interns, publish 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 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, and collaborate effectively with product teams Strong and clear communication skills Minimum Qualifications
PhD in a technical field such as computer science or 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 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 Policies and Benefits
"Default Together" Policy at Snap: We believe that being together in person helps us build our culture faster and work in the office 4+ days per week. Equal Opportunity and Accommodation: Snap is an equal opportunity employer and provides employment opportunities regardless of race, religion, color, national origin, disability, age, sex, gender, sexual orientation, or other protected classifications, in accordance with applicable laws. If you require accommodations, please contact accommodations-ext@snap.com. Benefits
Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success. Compensation
In the United States, work locations are assigned pay zones that determine the salary range. The starting pay is based on skills, experience, qualifications, location, and market conditions and may be negotiable within the range. Zone A (CA, WA, NYC): $173,000-$259,000; Zone B: $164,000-$246,000; Zone C: $147,000-$220,000. This position is eligible for equity in RSUs. Pay zones and ranges are subject to change. Additional company information, privacy policy, and related resources can be found at Snap careers pages and policy links.
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