Staff Applied Scientist

Adobe Systems
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Python","PyTorch","Distributed training","Machine learning","Deep learning","Diffusion models","Image/video/audio understanding"]

Join Adobe Firefly’s ASML group to advance multimodal generative AI by leading mid-training and editing pipelines for image, video, and audio. You will shape architectural decisions, drive data curation and distributed training, mentor engineers, and collaborate with research, data, and product teams to ship high-quality, scalable AI models globally.

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FursaFursa
Adobe Systems
Adobe Systems
2 months ago

Staff Applied Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Join Adobe Firefly’s ASML group to advance multimodal generative AI by leading mid-training and editing pipelines for image, video, and audio. You will shape architectural decisions, drive data curation and distributed training, mentor engineers, and collaborate with research, data, and product teams to ship high-quality, scalable AI models globally.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Define and drive the technical strategy for mid-training approaches that improve editing capabilities across Adobe's multimodal generative models for image, video, and audio.
  • •Own and drive multiple complex workstreams within the mid-training stack (e.g., image-to-image editing, instruction-based editing, cross-modal editing), making key architectural and prioritization decisions.
  • •Set technical direction for large-scale captioning pipelines and lead VLM finetuning strategy to improve multimodal understanding across visual and auditory domains.
  • •Own end-to-end workflows for data curation, quality improvements, and distributed training, driving infrastructure decisions that unblock the broader organization.
  • •Drive alignment across research, data, evaluation, infrastructure, pre-training, and post-training teams, influencing leadership on technical strategy and investment priorities.

Key Requirements

  • •Ph.D. in Computer Science, Machine Learning, or a related field, with significant industry experience building and shipping large-scale ML systems.
  • •Deep expertise in modern generative architectures such as diffusion models, with experience owning end-to-end conditional generation or editing pipelines for image, video, or audio.
  • •Proven ability to architect and scale ML systems using frameworks like PyTorch, including leading distributed training infrastructure design.
  • •Extensive experience in VLM finetuning for image, video, and audio understanding, with a track record of aligning research goals with product requirements.
  • •Experience owning large-scale automated captioning pipelines across image, video, and audio datasets.
Experience:Multimodal AIGenerative AIMachine learning
Education:PhD / Doctorate
Skills:PythonPyTorchDistributed trainingMachine learningDeep learningDiffusion modelsImage/video/audio understanding
Languages:English
Tech Stack:PythonPyTorchDiffusion modelsVLMLarge-scale trainingDistributed training

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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