[Remote] 2026 University Graduate - Applied Scientist

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Adobe is a company focused on changing the world through digital experiences. They are seeking an Applied Scientist with expertise in Generative AI to conduct research and development, collaborate with researchers, and deploy novel technologies in Adobe Products. Responsibilities Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs Develop and deploy novel generative AI technologies to existing and new Adobe Products Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields Skills PhD or MS degree in CV/AI/ML/CG or related fields 0-2+ years of experience in specific skill/field(s) Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques Experience with post-training techniques such as fine-tuning, alignment or distillation Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters Excellent communication skills and a strong great teammate Benefits Annual Incentive Plan (AIP) Long-term incentives in the form of a new hire equity award Company Overview Adobe is a software company that provides its users with digital marketing and media solutions. It was founded in 1982, and is headquartered in San Jose, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship Adobe has a track record of offering H1B sponsorships, with 1160 in 2025, 1217 in 2024, 750 in 2023, 878 in 2022, 742 in 2021, 477 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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