Machine Learning Scientist Interview Experience - Boston, Massachusetts
November 22, 2024
Positive ExperienceGot Offer
Process
- Hackerrank assessment: 2 LeetCode medium and 9 MCQs.
- ML Case Study screen: Walkthrough customer churn prediction process.
- VO: a) ML Case Study: Same as screen, different problem statement. Deeper dive. b) Behaviour Round: Asked unrealistic questions about experience handling an entire project end-to-end for a 1-2 year experience role. c) Coding: 2 medium LeetCode level questions (60 mins).
Questions
Tell me about a time where you handled a project end to end.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Wayfair Machine Learning Scientist role in Boston, Massachusetts.
Success Rate
0%
Pass Rate
Wayfair's interview process for their Machine Learning Scientist roles in Boston, Massachusetts is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for Wayfair's Machine Learning Scientist interview process in Boston, Massachusetts.
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.
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