Machine Learning Engineer Interview Experience - New York, New York
May 1, 2022
Positive ExperienceGot Offer
Process
The interview process included recruiter screening, a phone screen, an onsite interview (4 technical + 1 behavioral), HM chats, and an offer. Overall, it took around 1 month, and the experience was very pleasant. The recruiter was very helpful throughout the whole process.
Questions
NDA
(I cannot disclose the questions.)
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Spotify Machine Learning Engineer role in New York, New York.
Success Rate
50%
Pass Rate
Spotify's interview process for their Machine Learning Engineer roles in New York, New York is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive75%
Neutral0%
Negative25%
Candidates reported having very good feelings for Spotify's Machine Learning Engineer interview process in New York, New York.
Spotify Work Experiences
5.0
Great Place to Work
Machine Learning Engineer • Current Employee
New York, New York, United States
September 28, 2025
Pros: Smart and interesting people to work with.
Cons: Not many cons, if I am honest.
5.0
Great Mission, Long Remote Work
Machine Learning Engineer • Current Employee
New York, New York, United States
May 12, 2025
Pros: balance, influence, compensation, mission, beautiful
Cons: work, long, remote, company, work
4.0
Great company, but slow career
Machine Learning Engineer • Current Employee
New York, New York, United States
August 3, 2024
Pros: Great company culture and work-life balance.
Cons: Career progression is fairly slow.
- 5.0Great Place to WorkMachine Learning Engineer • Current EmployeeNew York, New York, United StatesSeptember 28, 2025Pros: Smart and interesting people to work with.Cons: Not many cons, if I am honest.
- 5.0Great Mission, Long Remote WorkMachine Learning Engineer • Current EmployeeNew York, New York, United StatesMay 12, 2025Pros: balance, influence, compensation, mission, beautifulCons: work, long, remote, company, work
- 4.0Great company, but slow careerMachine Learning Engineer • Current EmployeeNew York, New York, United StatesAugust 3, 2024Pros: Great company culture and work-life balance.Cons: Career progression is fairly slow.
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