Machine Learning Engineer Interview Experience - United States
January 27, 2022
Positive ExperienceNo Offer
Process
The interview process includes:
- Two take-home coding challenges through Coderbyte.
- One behavioral interview.
- A final round interview.
The final round interview is 5 hours long, and interviews are expected to be as difficult as those at other FAANG companies.
Questions
The first coding challenge involves basic LeetCode questions, and the second is to create a text editor. The final round interview includes both algorithm and machine learning questions.
Was this helpful?
Interview Statistics
The following metrics were computed from 3 interview experiences for the Dropbox Machine Learning Engineer role in United States.
Success Rate
0%
Pass Rate
Dropbox's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive67%
Neutral0%
Negative33%
Candidates reported having very good feelings for Dropbox's Machine Learning Engineer interview process in United States.
Dropbox Work Experiences
2.0
Not a good company to work for anymore
Machine Learning Engineer • Current Employee
San Francisco, California, United States
November 4, 2024
Pros: Decent pay and remote-friendly.
Cons: Bad career growth.
Bad management.
Leadership lack of vision.
5.0
Too good to be true
Machine Learning Engineer • Current Employee
September 12, 2022
Pros: - Amazingly super qualified teammates.
- Everyone is approachable.
- Benefits are highly competitive.
- The Dropbox Foundation/charity offers many options to contribute to society.
- Monthly company-wide PTO.
Cons: None so far. Still exploring.
2.0
Comp/Benefits/Remote: reason to stay. Nothing else
Engineering Manager • Current Employee
San Francisco, California, United States
November 6, 2025
Pros: - Decent compensation.
- Top-notch benefits.
- Remote-first culture.
- Folks from L1 to L5 are pretty good; they are talented and kind.
Cons: - Leadership (specifically the new VPs of EPD, yes, we have new VPs for Engineering, Product, and Design) is clueless.
- Core: Has nothing interesting to do, and the Engineering LT in Core has an extremely low hiring bar.
- Dash: Talented people, decent LT, no idea how to make people pay for Dash.
- Career growth is almost impossible, especially L4 onwards, unless you are buddies with the right people.
- 2.0Not a good company to work for anymoreMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesNovember 4, 2024Pros: Decent pay and remote-friendly.Cons: Bad career growth. Bad management. Leadership lack of vision.
- 5.0Too good to be trueMachine Learning Engineer • Current EmployeeSeptember 12, 2022Pros: - Amazingly super qualified teammates. - Everyone is approachable. - Benefits are highly competitive. - The Dropbox Foundation/charity offers many options to contribute to society. - Monthly company-wide PTO.Cons: None so far. Still exploring.
- 2.0Comp/Benefits/Remote: reason to stay. Nothing elseEngineering Manager • Current EmployeeSan Francisco, California, United StatesNovember 6, 2025Pros: - Decent compensation. - Top-notch benefits. - Remote-first culture. - Folks from L1 to L5 are pretty good; they are talented and kind.Cons: - Leadership (specifically the new VPs of EPD, yes, we have new VPs for Engineering, Product, and Design) is clueless. - Core: Has nothing interesting to do, and the Engineering LT in Core has an extremely low hiring bar. - Dash: Talented people, decent LT, no idea how to make people pay for Dash. - Career growth is almost impossible, especially L4 onwards, unless you are buddies with the right people.
Dropbox Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
