More jobs:
Applied Scientist
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-07-25
Listing for:
Adobe
Full Time
position Listed on 2026-07-25
Job specializations:
-
Research/Development
Data Scientist, AI Business & Operations
Job Description & How to Apply Below
Adobe Applied Science & Machine Learning (ASML) group is looking for applied research scientists and engineers to help us build the next generation of creative tools. The Data Research org within ASML is seeking an applied Scientist with experience in image/video understanding and generation. We seek candidates with strong expertise in the field, as evidenced by peer‑reviewed academic publications, combined with hands‑on industrial research experience.
Whatyou will be responsible for
- Develop and implement scalable and efficient modeling algorithms that can work with large‑scale data in production systems
- Develop and fine‑tune large‑scale foundation models for video understanding and generation (e.g., ViTs, VLMs, multimodal encoders)
- Collaborate with researchers and engineers to bring research ideas to production
- Convert research ideas/papers to code in Python and typical machine‑learning development toolkits
- Stay on top of the latest ML research (e.g., diffusion models, alignment methods, multimodal understanding) and translate advances into practical solutions
- Masters or Ph.D. in Computer Science, AI/ML or related fields
- Excellent communication skills
- Strong proficiency in Python and Py Torch
- Solid foundation in computer science fundamentals
- Experience with distributed training and its common strategies
- Experience in state‑of‑the‑art Generative AI technologies, such as VLMs and diffusion models
- Strong hands‑on experience working on image/video understanding, generation and editing
- Working with large‑scale datasets
- Good publication record in Computer Vision, AI/ML or related fields
Adobe is a proud Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
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