Adobe AI/ML Intern 2026 San Jose | Machine Learning Engineer
| Company | Adobe (Creative Cloud, Firefly AI, Experience Platform; 30K+ employees) |
| Role | 2026 AI/ML Intern — Machine Learning Engineer |
| Location | San Jose, CA (co-located hybrid — office + home) |
| Duration | Full-time internship, May–September 2026 |
| Compensation | 45–55 USD/hour |
| Graduation | December 2026 – June 2027 |
| Stack | Python, Java, C, scikit-learn, R/Matlab; statistical modeling, deep learning |
Overview
Adobe is hiring a Machine Learning Engineer intern for Summer 2026 in San Jose — applying AI and ML techniques to big-data problems that help Adobe understand, lead, and optimize customer experiences across Creative Cloud, Firefly, and Experience Platform.
You'll develop predictive models on large-scale datasets for projects including real-time online media optimization, sales operation analytics, customer churn scoring, product recommendation, and customer lifetime value prediction — collaborating with product management and engineering to ship production ML systems.
Key Requirements & Critical Rules
- Work mode: Co-located hybrid in San Jose — split between office (with manager/team) and home per team priorities.
- Duration: Full-time internship between May–September 2026.
- Degree: Pursuing Bachelor's, Master's, or PhD in CS, CE, or equivalent; expected graduation Dec 2026 – Jun 2027.
- ML skills: Strong understanding of statistical modeling, machine learning, deep learning, or data analytics.
- Languages: Proficient in Python, Java, or C; familiar with R, Matlab, or scikit-learn.
- Work scope: Build scalable, interpretable models on large-scale production data; collaborate on new products and features.
- Compensation: 45–55 USD/hour (U.S. pay range).
- Soft skills: Strong analytical problem-solving, excellent communication, team player.
- Interview note: AI/recording tools not permitted during live interviews unless explicitly approved.
