Staff Applied Scientist, Generative AI/ML

Position Overview

Changing the world through digital experiences is what Adobe’s all about. We empower everyone—from emerging artists to global brands—to design and deliver exceptional digital experiences.

Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. In this role, you will prepare data, train, fine-tune, and adapt large foundation models across images, video, 3D, LLMs, and cross-modal setups, working at the forefront of Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.

Key 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 translate research ideas into creative workflows used by millions.
• Publish and present your work in prominent scientific venues in CV, AI, ML, and CG fields.

Required Qualifications

• Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 4+ years of professional experience.
• Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one modality: 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 team player.

Preferred Qualifications

• Experience in large-scale generative model training.
• Experience with synthetic data generation.
• Experience working with large-scale datasets.
• Experience collaborating with product teams on technology transfers.

Benefits & Perks

• Compensation: The U.S. pay range for this position is $172,500 – $306,625 annually. In California, the range is $211,800 – $306,625, and in Washington, it is $201,000 – $291,150.
• Opportunity to work with a world-class team and cutting-edge technology.
• Inclusive and diverse work environment with a commitment to equal opportunity.
• Additional Perks: Access to innovative projects, professional development, and industry-leading resources.