Applied Scientist 5

+ years of hands-on ML engineering experience in industry or research.

Strong fundamentals in

machine learning, deep learning, optimization, and statistical modeling

(diffusion, flow matching, autoregressive models, VAEs, etc.)

Multimodal foundation models

Reinforcement learning / learning from interaction

, the

stories we tell

, the

customers

fundamental research problems in agentic intelligence, developing new algorithms and model architectures, designing rigorous experiments, and translating research advances into

fundamental and applied research

in agentic AI, foundation models, reasoning, planning, memory, tool use, multimodal intelligence, and long-horizon interaction.

novel model architectures, learning algorithms, training methodologies, and inference techniques

to improve the capabilities of AI agents.

Advance the underlying intelligence of agents through research in

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.