Machine Learning Engineer Interview Experience - Australia
October 31, 2021
Negative ExperienceNo Offer
Process
First HR round, second with manager. Third live coding tasks, quite irrelevant to the day-to-day of the role, with focus on syntax and not on logic and thinking.
Questions
Basic search on a list of strings.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Zendesk Machine Learning Engineer role in Australia.
Success Rate
0%
Pass Rate
Zendesk's interview process for their Machine Learning Engineer roles in Australia is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral0%
Negative100%
Candidates reported having very negative feelings for Zendesk's Machine Learning Engineer interview process in Australia.
Zendesk Work Experiences
4.0
Very good company.
Machine Learning Engineer • Current Employee
Berlin, Berlin, Germany
July 27, 2025
Pros: Salary
Flexible hours
Management
Schedule
Benefits
Cons: Excessive workload during certain periods.
5.0
Pune Setup, Global Team Dominance
Sr. Software Engineer • Current Employee
Pune, Maharashtra, India
November 28, 2025
Pros: Setting up an entity in Pune, a good company.
Cons: Dependency among global team members is dominant.
4.0
Good Pay, Bad Culture
Software Engineer • Former Employee
Dublin, Dublin, Ireland
November 26, 2025
Pros: Good pay, management, and remote.
Cons: Bad culture: letting go of employees for AI.
- 4.0Very good company.Machine Learning Engineer • Current EmployeeBerlin, Berlin, GermanyJuly 27, 2025Pros: Salary Flexible hours Management Schedule BenefitsCons: Excessive workload during certain periods.
- 5.0Pune Setup, Global Team DominanceSr. Software Engineer • Current EmployeePune, Maharashtra, IndiaNovember 28, 2025Pros: Setting up an entity in Pune, a good company.Cons: Dependency among global team members is dominant.
- 4.0Good Pay, Bad CultureSoftware Engineer • Former EmployeeDublin, Dublin, IrelandNovember 26, 2025Pros: Good pay, management, and remote.Cons: Bad culture: letting go of employees for AI.
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