Machine Learning Engineer Interview Experience - Uruguay
March 1, 2022
Negative ExperienceNo Offer
Process
The interview process looked like this:
- HackerRank online assessment
- Chat with the recruiter (30 min)
- Technical interview (45 min)
- Online onsite: Four back-to-back meetings with a 15-minute break. These included one coding interview, one system design interview, and two behavioral interviews.
Questions
- Building a tokenizer
- Given a set of items, create pairs given certain conditions.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Yelp Machine Learning Engineer role in Uruguay.
Success Rate
0%
Pass Rate
Yelp's interview process for their Machine Learning Engineer roles in Uruguay is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral0%
Negative100%
Candidates reported having very negative feelings for Yelp's Machine Learning Engineer interview process in Uruguay.
Yelp Work Experiences
4.0
Awesome Culture, Shaky Future Prospects
Machine Learning Engineer • Former Employee
Toronto, Ontario, Canada
May 31, 2020
Pros: I really loved the culture that Yelp cultivated.
More so than any other company that I've been at, the people were friendly and fostered a true sense of community and belonging.
Cons: The company's future prospects are shaky and uncertain. Competition from large companies like Google and Facebook places the company in a very risky spot. It is very obvious that the company execs are aware of this, as there is a certain atmosphere of stinginess when it comes to team budgets and company events.
5.0
Great place to work in the heart of London
Machine Learning Engineer • Current Employee
London, England, United Kingdom
August 17, 2022
Pros: - Zero blame culture.
- Lot of learning opportunities.
- Competitive salary/benefits.
- Very transparent senior members.
Cons: - extremely distributed workforce
- really tough competition in the form of Google, Instagram, TikTok
4.0
Great WLB, but less opportunity for growth
Machine Learning Engineer • Current Employee
April 26, 2022
Pros: Work culture is top-notch.
Great and helpful co-workers.
Work-life balance is amazing with a 35-hour week expectation.
Cons: Learning can be slow.
Work is not fast-paced, and projects take forever to finish.
- 4.0Awesome Culture, Shaky Future ProspectsMachine Learning Engineer • Former EmployeeToronto, Ontario, CanadaMay 31, 2020Pros: I really loved the culture that Yelp cultivated. More so than any other company that I've been at, the people were friendly and fostered a true sense of community and belonging.Cons: The company's future prospects are shaky and uncertain. Competition from large companies like Google and Facebook places the company in a very risky spot. It is very obvious that the company execs are aware of this, as there is a certain atmosphere of stinginess when it comes to team budgets and company events.
- 5.0Great place to work in the heart of LondonMachine Learning Engineer • Current EmployeeLondon, England, United KingdomAugust 17, 2022Pros: - Zero blame culture. - Lot of learning opportunities. - Competitive salary/benefits. - Very transparent senior members.Cons: - extremely distributed workforce - really tough competition in the form of Google, Instagram, TikTok
- 4.0Great WLB, but less opportunity for growthMachine Learning Engineer • Current EmployeeApril 26, 2022Pros: Work culture is top-notch. Great and helpful co-workers. Work-life balance is amazing with a 35-hour week expectation.Cons: Learning can be slow. Work is not fast-paced, and projects take forever to finish.
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