2026 Intern - Applied Science/Machine Learning Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

TechnologyIndustries

Requirements

Enrolled full-time in a Computer Science, Statistics, Data Science, NLP, or related quantitative field program, expecting graduation between December 2026 – June 2027
Strong understanding of machine learning, deep learning, statistical modeling, or natural language processing
Demonstrated experience in research (publication record at top AI/ML conferences strongly preferred)
Experience with Python required; familiarity with PyTorch/TensorFlow or A2A/MCP is beneficial
Familiarity with data analysis tools and modern ML stacks (e.g., SQL, scikit-learn, Hugging Face, or cloud ML platforms)
Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc
Strong analytical problem-solving skills, with ability to invent experiments and interpret results
Excellent communication skills with the ability to explain technical results to non-technical collaborators
Ability to participate in a full-time internship

Responsibilities

Conduct practical research and development in a fundamental area of creating smart assistants and multi-agent systems, like natural language understanding, designing conversational interactions, generative and agent-based AI, logic, learning through rewards, causal reasoning, and ongoing learning
Develop and implement scalable, efficient, and interpretable algorithms that can work with large-scale data in production systems, specifically the AEP Agent Orchestrator and AI Assistant
Build benchmark datasets, evaluation protocols, and metrics to advance model performance
Collaborate with applied researchers, engineers, and product managers to translate research ideas into coordinated solutions
Present findings through technical reports, publications, or demos to share impact internally and externally

Skills

Key technologies and capabilities for this role

Machine LearningAIApplied ScienceResearch TechniquesOptimization TechniquesConversational AIWorkflow Planning

Questions & Answers

Common questions about this position

Is this a full-time internship?

Yes, the employment type is full time.

What is the work arrangement for this internship?

All 2026 Adobe interns will be co-located hybrid, working between their assigned office and home, based in the office where their manager and/or team are located to ensure collaboration.

What skills are required for this Applied Science/Machine Learning Engineer intern role?

Key skills include conducting research in natural language understanding, conversational interactions, generative and agent-based AI, logic, reward learning, causal reasoning, and ongoing learning; developing scalable algorithms for large-scale data in production systems; and building benchmark datasets and evaluation metrics.

What is Adobe's company culture like for interns?

Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity, values new ideas from all levels, and emphasizes collaboration by basing interns in the office with their manager and team for the best support.

What makes a strong candidate for this internship?

Strong candidates will have experience in AI research areas like natural language understanding, generative AI, and multi-agent systems, the ability to develop scalable algorithms for production, and skills in building datasets and metrics, along with a collaborative mindset to work with researchers, engineers, and product managers.

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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