Machine Learning Scientist Interview Experience - United States
September 1, 2024
Neutral ExperienceNo Offer
Process
The process took about two weeks, from receiving the invitation to the OA to receiving the response.
The OA included both statistical and algorithm questions.
The recruiter sent a few guides about the OA, but they provided different guidance, which was confusing. However, the overall objective was the same.
Questions
Multiple choice questions on statistics.
Was this helpful?
Interview Statistics
The following metrics were computed from 3 interview experiences for the Wayfair Machine Learning Scientist role in United States.
Success Rate
0%
Pass Rate
Wayfair's interview process for their Machine Learning Scientist roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive33%
Neutral33%
Negative33%
Candidates reported having mixed feelings for Wayfair's Machine Learning Scientist interview process in United States.
Wayfair Work Experiences
4.0
The Science team
Machine Learning Scientist • Current Employee
Boston, Massachusetts, United States
September 26, 2025
Pros: The peers are really smart; most of them are Ph.D.s.
Cons: Salary is not high, and it is not easy to climb the corporate ladder. They cannot keep talent.
3.0
Bad high-level management.
Machine Learning Scientist • Former Employee
Boston, Massachusetts, United States
September 4, 2025
Pros: - Decent compensation
- Great teammates to work with
Cons: - Bad management from the high level.
2.0
Poor leadership, people, and low retention rate.
Machine Learning Scientist • Current Employee
Boston, Massachusetts, United States
August 21, 2025
Pros: The projects are pretty interesting.
Cons: The directors of MLS don't have IC experience, and they have unrealistic expectations of employees. The salary is low, and work-life balance is becoming worse after the pandemic. Growth is impossible.
- 4.0The Science teamMachine Learning Scientist • Current EmployeeBoston, Massachusetts, United StatesSeptember 26, 2025Pros: The peers are really smart; most of them are Ph.D.s.Cons: Salary is not high, and it is not easy to climb the corporate ladder. They cannot keep talent.
- 3.0Bad high-level management.Machine Learning Scientist • Former EmployeeBoston, Massachusetts, United StatesSeptember 4, 2025Pros: - Decent compensation - Great teammates to work withCons: - Bad management from the high level.
- 2.0Poor leadership, people, and low retention rate.Machine Learning Scientist • Current EmployeeBoston, Massachusetts, United StatesAugust 21, 2025Pros: The projects are pretty interesting.Cons: The directors of MLS don't have IC experience, and they have unrealistic expectations of employees. The salary is low, and work-life balance is becoming worse after the pandemic. Growth is impossible.
Wayfair 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
