Applied Scientist, Generative AI/ML
About The Position
Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with 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.
Requirements
- Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience.
- 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.
Nice To Haves
- Experience on large-scale generative model training
- Experience on synthetic data generation
- Experience of working with large-scale datasets
- Experience of working with product teams on technology transfers
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.
Benefits
- comprehensive benefits programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
