Intern – Applied Science, Machine Learning Engineer

Adobe

Applied Scientist / Machine Learning Engineering Intern at Adobe focusing on AI-driven enterprise software. Research and develop advanced algorithms for smart assistants and multi-agent systems.

Posted 5/8/2026internshipSan Jose • California • 🇺🇸 United StatesEntry Level💰 $45 - $55 per hourWebsite

Tech Stack

Tools & technologies

CloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Enrolled full-time in a Computer Science, Statistics, Data Science, NLP, or related quantitative field program
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 between May–September.

Benefits

Comp & perks

Comprehensive benefits programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningstatistical modelingnatural language processingPythonPyTorchTensorFlowSQLscikit-learnLLMs

Soft Skills

analytical problem-solvingcommunication