Machine Learning Engineer Interview Experience - India
September 26, 2025
Negative ExperienceNo Offer
Process
The interview process consisted of the following rounds:
- Screening round (resume and ML basics)
- ML coding round
- Software system knowledge round
- Data manipulation round (pandas)
- ML theory round (discussing theory and ML use-cases)
- Hiring manager round
They decided to have another hiring manager round because the HM was out of office during the previous round, and someone else filled in for him.
After two months of waiting, a rejection followed.
Questions
Do you have experience with LLMs?
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Interview Statistics
The following metrics were computed from 1 interview experience for the Workday Machine Learning Engineer role in India.
Success Rate
0%
Pass Rate
Workday's interview process for their Machine Learning Engineer roles in India is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral0%
Negative100%
Candidates reported having very negative feelings for Workday's Machine Learning Engineer interview process in India.
Workday Work Experiences
1.0
Slow and Crumbling Tech Plus Mediocre Talent
Machine Learning Engineer • Current Employee
March 14, 2021
Pros: Work-life balance, similar to a government job.
Cons: Filed with B and C players who rest and vest. Not a performance culture.
Management doesn’t base rewards and promotion on delivering good tech and products to customers.
Leadership of the ML team is good at managing up but doesn’t actually fix issues. They bury problems and keep low performers so they don’t have to deal with the red tape of HR. Maybe management could do useful things, like get us data?
The ML team has no product vision or strategy. They are just order takers.
5.0
Enthusiastic Team, Great Place
Machine Learning Engineer • Current Employee
Montreal, Quebec, Canada
October 12, 2022
Pros: Great place to be at right now.
Cons: Nothing really, except they are a very enthusiastic bunch.
3.0
Okay Pay, Slow Progression
Machine Learning Engineer • Current Employee
June 30, 2025
Pros: Salary is okay for Canadian standards.
Cons: Progression is very slow; promotion is nowhere in sight.
- 1.0Slow and Crumbling Tech Plus Mediocre TalentMachine Learning Engineer • Current EmployeeMarch 14, 2021Pros: Work-life balance, similar to a government job.Cons: Filed with B and C players who rest and vest. Not a performance culture. Management doesn’t base rewards and promotion on delivering good tech and products to customers. Leadership of the ML team is good at managing up but doesn’t actually fix issues. They bury problems and keep low performers so they don’t have to deal with the red tape of HR. Maybe management could do useful things, like get us data? The ML team has no product vision or strategy. They are just order takers.
- 5.0Enthusiastic Team, Great PlaceMachine Learning Engineer • Current EmployeeMontreal, Quebec, CanadaOctober 12, 2022Pros: Great place to be at right now.Cons: Nothing really, except they are a very enthusiastic bunch.
- 3.0Okay Pay, Slow ProgressionMachine Learning Engineer • Current EmployeeJune 30, 2025Pros: Salary is okay for Canadian standards.Cons: Progression is very slow; promotion is nowhere in sight.
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