The Opportunity
Adobe is looking for an Applied Scientist with experience in Generative AI, specifically, expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors.
What You’ll Do
- 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
What You Need to Succeed
- 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
