Machine Learning Engineer Interview Experience - Santa Monica, California
February 13, 2026
Neutral ExperienceNo Offer
Process
The process was 1 phone screen and 4 on-site rounds.
- Round 1: ML theory and LeetCode.
- Round 2: ML discussion on the latest research papers.
- Round 3: ML coding.
- Round 4 and 5: LeetCode.
Questions
Implement random crop from scratch?
Was this helpful?
Interview Statistics
The following metrics were computed from 2 interview experiences for the Snap Machine Learning Engineer role in Santa Monica, California.
Success Rate
0%
Pass Rate
Snap's interview process for their Machine Learning Engineer roles in Santa Monica, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral50%
Negative50%
Candidates reported having very negative feelings for Snap's Machine Learning Engineer interview process in Santa Monica, California.
Snap Work Experiences
3.0
Great Talent, Poor Leadership
Machine Learning Engineer • Current Employee
Santa Monica, California, United States
March 8, 2023
Pros: - Benefits and perks
- Compensation
- High density of great talent
Cons: - No vision
- Lackluster and incompetent leadership
- Bad WLB
1.0
Lays you off.
Rehires less qualified individuals for hire salary.
Colleagues split your equity
Machine Learning Engineer • Former Employee
June 20, 2023
Pros: You have the opportunity to work (for those who will later eat your lunch).
Cons: It’s a dog-eat-dog world.
Not much to go around; you could be next.
4.0
Good Culture, Rto Stinks
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
January 8, 2024
Pros: People, culture, compensation, WLB.
Cons: Forced RTO policy (4 days a week)
- 3.0Great Talent, Poor LeadershipMachine Learning Engineer • Current EmployeeSanta Monica, California, United StatesMarch 8, 2023Pros: - Benefits and perks - Compensation - High density of great talentCons: - No vision - Lackluster and incompetent leadership - Bad WLB
- 1.0Lays you off. Rehires less qualified individuals for hire salary. Colleagues split your equityMachine Learning Engineer • Former EmployeeJune 20, 2023Pros: You have the opportunity to work (for those who will later eat your lunch).Cons: It’s a dog-eat-dog world. Not much to go around; you could be next.
- 4.0Good Culture, Rto StinksMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesJanuary 8, 2024Pros: People, culture, compensation, WLB.Cons: Forced RTO policy (4 days a week)
Snap 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
