Applied Scientist 3
Adobe · San Jose, CA · Engineering and Product
About this role
Adobe is hiring a mid-level Applied Scientist in the machine learning function based in San Jose, CA. The posting calls out experience with Python, Express, PyTorch, LLMs. Listed education preference: a master's degree or equivalent. Compensation is listed at $120,700–$238,600 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Education
- Master's degree
- Department
- Engineering and Product
- Posted
- Mar 16, 2026
More roles at Adobe
Job description
from Adobe careersChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to build and deliver outstanding digital experiences. We’re passionate about empowering people to develop beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to crafting outstanding employee experiences. Everyone is respected and has access to equal opportunity. We realize new ideas can come from anywhere in the organization, and we know the next big idea could be yours!
Adobe Firefly’s ASML group invites research scientists and engineers passionate about conditional generation and editing of large generative AI models. This role emphasizes images and videos. We strive to advance generative AI technology while guaranteeing models possess excellent quality and control.
We are especially looking for candidates experienced in large-scale, industry-level pre-training and mid-training of multi-modality generative models. This role has a direct effect on the quality of Adobe’s image and video generation models, supporting next-generation creative workflows for millions of users.
As an Applied Scientist at Adobe, you will join a world-class team of applied researchers and engineers building the future of digital experiences. You will have the opportunity to innovate across the full training stack, collaborate across data, modeling, and product, and see your work ship to customers worldwide.