Machine Learning Intern Interview Experience - Italy
Process
Assessment divided into different parts, with a first part of theoretical/practical multiple choice on machine learning, then moving to a coding part where you are asked to program an image classifier and a text classifier in 30 minutes each.
Questions
Write an image classifier for the dataset attached.
Write a text classifier for the dataset attached.
Task scheduling LeetCode question.
Produce JSON matching this specification:
Translation = { "translatedText": string } Return: Translation
Output: { "translatedText": "translated content here" }
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Interview Statistics
The following metrics were computed from 1 interview experience for the Adobe Machine Learning Intern role in Italy.
Success Rate
Adobe's interview process for their Machine Learning Intern roles in Italy is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Adobe's Machine Learning Intern interview process in Italy.
Adobe Work Experiences
- 5.0Excellent Culture, Flexible GoalsMachine Learning Intern • Current EmployeeSan Jose, California, United StatesAugust 9, 2022Pros: Great work culture and work-life balance.Cons: Too much flexibility can cause instability in project goals.
- 4.0Good Benefits, Risky ProjectsData Engineer • Current EmployeeBangalore Rural, Karnataka, IndiaNovember 12, 2025Pros: Best company as of benefit.Cons: The project is not good, so choose wisely.
- 4.0Innovative Work, Mixed BureaucracySoftware Engineer • Former EmployeeSeattle, Washington, United StatesNovember 9, 2025Pros: Strong brand reputation: Adobe is a well-established, respected tech company. Innovative product portfolio: Work on creative tools like Photoshop, Illustrator, and Adobe Sensei. Competitive compensation: Salaries, bonuses, and stock options are generally strong. Work-life balance: Many teams report reasonable hours and flexibility. Learning opportunities: Access to cutting-edge tech, internal mobility, and professional development.Cons: Large company bureaucracy: Slower decision-making and more red tape. Product legacy complexity: Older codebases can be hard to modernize. Team experience varies: Culture and workload can differ widely by org. Innovation pace: Some engineers feel constrained by product cycles or legacy systems.
Adobe Interview Questions
