Adobe Machine Learning Engineer Intern 2027 San Jose
Apply by 25 Dec 2026
Key Facts
| Role | 2027 Intern - Machine Learning Engineer |
|---|---|
| Company | Adobe |
| Location(s) | San Jose, CA (hybrid, co-located with team) |
| Term | 2027 internship |
| Deadline | Rolling — no firm apply-by date listed (apply early) |
| Pay / stipend | See official posting |
Overview
Adobe is hiring Machine Learning Engineer interns for 2027 to work on generative AI, intelligent agents, search, recommendations, and production models used across creative and marketing products. Depending on the team, that means LLM apps, multimodal systems, evaluation frameworks, or deployed models.
Interns are co-located hybrid in the office tied to their manager (this req is San Jose). Graduation window is December 2027 through June 2028, full-time enrollment in CS, CE, or a related field.
Eligibility / Key Requirements
- Full-time Bachelor’s, Master’s, or PhD in CS, Computer Engineering, or related field
- Expected graduation December 2027 – June 2028
- Strong ML/DL foundation, including familiarity with generative AI and LLMs
- Strong Python; PyTorch or TensorFlow experience
- Hybrid availability in San Jose with your assigned team
How to Apply
- Open the official application from EduBard’s Apply button for this role.
- Create or sign in to your employer careers account.
- Submit your resume and any required materials before the deadline.
Compiled from the official posting; verify details on the employer site before applying.