Snap Inc. ยท 2 months ago
Research Intern - Computational Imaging
Snap Inc. is a technology company that empowers people to express themselves through innovative products. They are seeking Research interns to join their Computational Imaging Research Team, focusing on enhancing user experiences with photo and video products and improving image and video quality.
Computer Software
Responsibilities
Lead research in computer vision across low-level vision, efficient VLMs, and avatar/animation/video generation
Build research prototypes and evaluate them in real application scenarios
Publish your findings at top conferences
Qualification
Required
Track record of (co-)first-author publications in top venues, e.g. CVPR, NeurIPS, Siggraph
Currently enrolled in a PhD (or MS) program in a technical field such as computer science, computer engineering, machine learning, statistics, mathematics
Strong foundation in computer vision, 3D graphics, and multimodal learning
Strong theoretical foundations of generative AI and practical experience training, tuning, and modifying generative models
Hands-on experience with state-of-the-art neural network techniques such as CNNs, Transformers, GANs, diffusion models, VAEs, and/or other emerging techniques
Strong technical knowledge of state-of-the-art DL algorithms in one or more above sub-areas
Demonstrated ability in defining, leading and executing challenging research projects
Strong computer science fundamentals, problem-solving and engineering skills
Preferred
Hands-on experience in large scale dataset curation and distributed ML model training such as image/video/audio generation model pre-training or post-training
Company
Snap Inc.
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate.
H1B Sponsorship
Snap Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (394)
2024 (366)
2023 (332)
2022 (356)
2021 (318)
2020 (237)
Funding
Current Stage
Late StageRecent News
2025-02-12
2025-02-11
Social Media Today
2025-02-08
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