Machine Learning Scientist II Interview Experience - United States
October 1, 2022
Neutral ExperienceNo Offer
Process
The hiring process is as follows:
- Resume Application
- Personality Test
- HackerRank Test
- Online Interview (one round is technical, another round is not). This is where you go over your test answers.
- Offer
Questions
Predict the average delay of flights with a given dataset.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Expedia Group Machine Learning Scientist II role in United States.
Success Rate
0%
Pass Rate
Expedia Group's interview process for their Machine Learning Scientist II roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Expedia Group's Machine Learning Scientist II interview process in United States.
Expedia Group Work Experiences
4.0
You just need some luck with the team and with promotions
Machine Learning Scientist II • Current Employee
London, England, United Kingdom
October 28, 2025
Pros: Good Team Culture: people are able to talk about things other than work.
Cons: Broken Promotion System:
Job hopping within the company is more effective than the promotion cycle.
4.0
Good People, Slow Growth
Machine Learning Scientist II • Current Employee
October 11, 2024
Pros: Nice people mostly, in a nice office with regular events.
Cons: Not super easy to progress in your career, even with good performance.
5.0
Smart People, Interesting Projects
Machine Learning Scientist II • Current Employee
London, England, United Kingdom
February 29, 2024
Pros: Smart people
Interesting projects
Hybrid work
Cons: Compensation could be higher, but is still ok.
- 4.0You just need some luck with the team and with promotionsMachine Learning Scientist II • Current EmployeeLondon, England, United KingdomOctober 28, 2025Pros: Good Team Culture: people are able to talk about things other than work.Cons: Broken Promotion System: Job hopping within the company is more effective than the promotion cycle.
- 4.0Good People, Slow GrowthMachine Learning Scientist II • Current EmployeeOctober 11, 2024Pros: Nice people mostly, in a nice office with regular events.Cons: Not super easy to progress in your career, even with good performance.
- 5.0Smart People, Interesting ProjectsMachine Learning Scientist II • Current EmployeeLondon, England, United KingdomFebruary 29, 2024Pros: Smart people Interesting projects Hybrid workCons: Compensation could be higher, but is still ok.
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