2026 University Graduate - Applied Science at Adobe

Seattle, Washington, United States

Adobe Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Technology, SoftwareIndustries

Requirements

  • PhD or MS degree in CV/AI/ML/CG or related fields
  • 0-2+ years of experience in specific skill/field(s)
  • 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

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

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningDeep LearningComputer VisionNatural Language ProcessingLarge Language ModelsFoundation ModelsImage GenerationVideo Generation3D GenerationMultimodal AI

Questions & Answers

Common questions about this position

What education is required for this Applied Scientist role?

A PhD or MS degree in CV/AI/ML/CG or related fields is required.

What experience is needed in Generative AI for this position?

Candidates need 0-2+ years of research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one modality: image, video, 3D, or audio.

What technical expertise is essential for this job?

Expertise in large-scale model training and optimization, including data curation, distributed training, memory-efficient techniques, post-training techniques like fine-tuning, alignment or distillation, and proficiency with PyTorch and scaling on GPU/TPU clusters is required.

What is the company culture like at Adobe?

Adobe is committed to creating exceptional employee experiences where everyone is respected, has access to equal opportunity, and can contribute new ideas, while collaborating with world-class researchers and engineers in a diverse workplace.

What makes a strong candidate for this role?

Strong candidates have a PhD or MS in relevant fields, experience in Generative AI model training across modalities like image/video/3D/audio, expertise in large-scale training and optimization, proficiency in PyTorch, and excellent communication skills as a great teammate.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters
1994Year Founded
$668.9MTotal Funding
IPOCompany Stage
Consumer Software, Enterprise Software, DesignIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.
Open-source alternatives may attract users away from Adobe's subscription model.
Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.
Adobe's subscription model includes special pricing for students, teachers, and businesses.
Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.
Remote work boosts demand for Adobe's cloud-based document management solutions.
AR's popularity in marketing benefits Adobe's 3D and AR tools.

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