2026 University Graduate - Applied Researcher at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Creative SoftwareIndustries

Requirements

Masters or PhD (preferred) in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience
Strong programming skills and proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX
Experience with modern ML architectures including transformers/visual transformers, diffusion models, or GANs
Experience with cloud platforms, MLOps, and deploying ML systems in production at scale
Ability to quickly read, understand, and prototype relevant research papers
Passion for creativity and learning with a drive to improve solutions
Up to date with the latest in AI Research
Comfortable working in a fast, iterative, and ambiguous environment
Strong communication skills with the ability to explain technical ideas and experiment results clearly
Collaborative spirit with a focus on product impact, AI/ML innovation, and engineering excellence
Preferred Qualifications
Experience with Large Language Models and model adaptation techniques (e.g., PEFT, SFT, RL)
Familiarity with agent-based systems, intelligent assistants, or planner-based AI
Experience in creative, imaging, or multimedia domains
Publications in renowned ML/CV/AI conferences (e.g., NeurIPS, CVPR, ICML, SIGGRAPH)

Responsibilities

Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express
Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning
Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling
Design and build modular ML components that integrate into Adobe’s Horizon AI Stack and serve multiple creative workflows
Drive the end-to-end ML lifecycle—from experimentation to evaluation, optimization, and production deployment
Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life
Design evaluation strategies using a combination of automated metrics, LLM-based judges, and user feedback

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIComputer VisionNLPMultimodal LearningAI SystemsModel DeploymentML Lifecycle

Questions & Answers

Common questions about this position

What are the basic qualifications for this role?

Candidates need a Masters or PhD (preferred) in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field, strong programming skills with proficiency in ML frameworks like PyTorch, TensorFlow, or JAX, experience with modern ML architectures such as transformers, diffusion models, or GANs, and experience with cloud platforms, MLOps, and deploying ML systems at scale.

What are the preferred qualifications for this position?

Preferred qualifications include experience with Large Language Models and model adaptation techniques like PEFT, SFT, RL, familiarity with agent-based systems, intelligent assistants, or planner-based AI, and experience in creative, imaging, or multimedia domains.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of experience makes a strong candidate for this position?

A strong candidate will have a PhD in a relevant field, hands-on experience prototyping from research papers, expertise in deploying scalable ML systems with MLOps, and preferred skills in LLMs, agent-based AI, or multimedia applications.

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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