Machine Learning Intern Interview Experience - San Jose, California
Process
The interview was not too hard. It included simple coding (LeetCode easy) and then basic machine learning knowledge, such as regression, classification, and transformers.
The second round was about a use case. You will be asked to design a whole machine learning pipeline for a specific problem setting.
Questions
What is overfitting and underfitting in regression?
How to deal with it?
Was this helpful?
Interview Statistics
The following metrics were computed from 4 interview experiences for the Adobe Machine Learning Intern role in San Jose, California.
Success Rate
Adobe's interview process for their Machine Learning Intern roles in San Jose, California is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Adobe's Machine Learning Intern interview process in San Jose, California.
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 Work-life Balance, Dated TechSoftware Engineer • Former EmployeeSan Jose, California, United StatesNovember 8, 2025Pros: Good work-life balance culture. The workload is not large.Cons: The tech stack is not very new.
- 5.0Great Place to WorkSoftware Engineer • Current EmployeeSan Jose, California, United StatesOctober 20, 2025Pros: - Good teams and culture. - Incentives to always keep learning. - Work and management based on achievable goals.Cons: Some areas/teams are a bit unorganized.
Adobe Interview Questions
