Adobe Systems

2 months ago

Sr Applied Scientist, Generative AI/ML

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Join Adobe's AI Platform as a Sr Applied Scientist in Generative AI/ML, focusing on preparing data, training and fine-tuning large foundation models across images, video, 3D, audio and multimodal setups. Collaborate with researchers to bring research ideas into creative workflows used by millions, publish in CV/AI venues, and advance scalable AI across Adobe products.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•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

Key Requirements

•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.

Experience:1+ yearsAIGenerative AIMultimodalComputer VisionNatural Language Processing

Education:PhD / Doctorate

Skills:CommunicationTeamworkCollaboration

Tech Stack:PyTorchGPUTPUDistributed trainingMemory-efficient techniquesFoundational models

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

Glassdoor: 4.0

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Adobe Systems

2 months ago

Sr Applied Scientist, Generative AI/ML

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Sr. Manager level

Key Responsibilities

•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

Key Requirements

•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.

Experience:1+ yearsAIGenerative AIMultimodalComputer VisionNatural Language Processing

Education:PhD / Doctorate

Skills:CommunicationTeamworkCollaboration

Tech Stack:PyTorchGPUTPUDistributed trainingMemory-efficient techniquesFoundational models

Company Brief

Adobe Systems

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

Glassdoor: 4.0

Website LinkedIn Glassdoor