Sr Applied Scientist Generative AIML

The Opportunity

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.

• 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.

• 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.

• Experience on large‑scale generative model training
• Experience on synthetic data generation
• Experience working with large‑scale datasets
• Experience working with product teams on technology transfers

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 – $270,950 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. In Washington, the pay range for this position is $168,600 – $244,200.

For non‑sales roles, starting salaries are expressed as base salary and short‑term incentives are in the form of an Annual Incentive Plan (AIP). Certain roles may be eligible for long‑term incentives in the form of a new‑hire equity award.

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Adobe is proud to be an 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. Learn more.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.