Machine Learning Engineer Interview Experience
Process
I passed three 45-minute interviews.
One focused on technical skills, another on my HackerRank submission, and the third was behavioral.
The questions weren't overly difficult, but the process could have been more efficient, perhaps by combining the first two interviews.
Questions
Q: What attributes are important for a recommender system based on the Expedia purpose?
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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
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
Candidates reported having very negative feelings for Expedia Group's Machine Learning Engineer interview process in United States.
Expedia Group Work Experiences
- 5.0Good Balance, Profit Over UsersMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesJuly 29, 2025Pros: Work-life balance Travel discount Working from a different officeCons: Success metrics are mainly on profit, not experience. Not much features are based on user feedback.
- 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.
- 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.
Expedia Group Interview Questions
