Applied Scientist

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.

Job Responsibilities

• Contribute to the design, implementation, and evaluation of mid-training approaches that improve editing capabilities for Adobe’s multimodal generative models across image, video, and audio.

• Own well-defined components within the mid-training stack — such as image-to-image editing or instruction-based editing — designing and running experiments to test hypotheses and identify quality gaps.

• Build and maintain large-scale captioning pipelines and support VLM fine tuning efforts to improve multimodal understanding across visual and auditory domains.

• Assist in building scalable workflows for data curation, quality improvements, and distributed training, applying research insights from diffusion models and large-scale training to practical model improvement.

• Collaborate closely with research, data, evaluation, infrastructure, pre-training, and post-training teams, contributing to knowledge sharing and documentation of experiments, datasets, and training approaches.

What you’ll need to succeed

• Possession of a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.

• Solid understanding of modern generative architectures such as diffusion models, with familiarity with conditional generation or editing methods for image, video, or audio tasks.

• Experience implementing machine learning models using modern deep learning frameworks (e.g., PyTorch), with exposure to large-scale or distributed training workflows.

• Experience or research background in VLM fine tuning with a focus on image, video, and audio understanding, including adapting pretrained vision-language models for downstream multimodal tasks.

• Familiarity with captioning for large-scale data, including designing or applying automated captioning pipelines for image, video, and audio datasets.

• Strong coding and prototyping ability in Python and PyTorch.

• Excellent communication skills and ability to collaborate across cross-functional teams.

Expected Pay Range:

The U.S. pay range for this position is $120,700 – $238,600 annually. In California, the pay range for this position is $164,800 – $238,600.

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.
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State-Specific Notices:

California:

Fair Chance Ordinances

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

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), 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.

Massachusetts:

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.