Machine Learning Engineer Interview Experience
October 1, 2022
Positive ExperienceNo Offer
Process
Their team reached out and asked to apply for the position.
I had two rounds:
- A behavioral round to check the general work approach of the applicants.
- A technical round to assess the technical skills required for the work.
Questions
What kind of work culture would you prefer?
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Expedia Group Machine Learning Engineer role in United States.
Success Rate
0%
Pass Rate
Expedia Group's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive25%
Neutral0%
Negative75%
Candidates reported having very negative feelings for Expedia Group's Machine Learning Engineer interview process in United States.
Expedia Group Work Experiences
4.0
Working at Expedia Group as MLE
Machine Learning Engineer • Current Employee
Gurgaon, Haryana, India
December 18, 2023
Pros: Good Work-Life Balance, Nice Compensation
Cons: Low scope for growth opportunities.
3.0
Good People, Low Ambition
Machine Learning Engineer • Current Employee
London, England, United Kingdom
August 7, 2024
Pros: Work-life balance, overall great people.
Cons: Salary, politics, and lackluster ambition from development.
4.0
Good and somewhat stable company
Machine Learning Engineer • Current Employee
London, England, United Kingdom
August 15, 2024
Pros: Good life-work balance, reasonable salary, good growth opportunities, and interesting projects.
Cons: - The tech stack is constantly changing, so we need to keep migrating services, which is time-consuming.
- Technical decisions can take a long time to be made because several levels of leadership need to sign off on a project.
- Communication between teams can be challenging and involve politics depending on the project.
- 4.0Working at Expedia Group as MLEMachine Learning Engineer • Current EmployeeGurgaon, Haryana, IndiaDecember 18, 2023Pros: Good Work-Life Balance, Nice CompensationCons: Low scope for growth opportunities.
- 3.0Good People, Low AmbitionMachine Learning Engineer • Current EmployeeLondon, England, United KingdomAugust 7, 2024Pros: Work-life balance, overall great people.Cons: Salary, politics, and lackluster ambition from development.
- 4.0Good and somewhat stable companyMachine Learning Engineer • Current EmployeeLondon, England, United KingdomAugust 15, 2024Pros: Good life-work balance, reasonable salary, good growth opportunities, and interesting projects.Cons: - The tech stack is constantly changing, so we need to keep migrating services, which is time-consuming. - Technical decisions can take a long time to be made because several levels of leadership need to sign off on a project. - Communication between teams can be challenging and involve politics depending on the project.
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