Internia

Machine Learning Engineer Interview Experiences

Adobe

Machine Learning Engineer

Bangalore, KA

Winter 2025No Offer

IIT Madras · Computer Science

3rd year · 3.3-3.6 GPA · 1 past internship

Hard Interview

TechnicalMultiple roundsVirtual

Couldn't recall the DBMS details and that cost me. OA was fine. Technical asked about indexing and race conditions, stuff I knew but hadn't reviewed. Then had to explain an ML project end to end including loss function choice

Questions Asked

  1. 1.“Explain the bias-variance trade-off”

Adobe

Machine Learning Engineer

San Jose, CA

Winter 2026Accepted

University of Toronto · Computer Science

4th year · 3.7+ GPA · 3 past internships

Hard Interview

Technical

Their ML OA is completely different from SWE, 3 Python questions focused on linear algebra and NumPy. then the technical interview was ML system design and they went into questions about residual connections and in context learning in LLMs. you need solid deep learning knowledge not just leetcode skills

Questions Asked

  1. 1.“Whats the difference between precision and recall? When does each matter more?”

Shopify

Machine Learning Engineer

Summer 2026No Offer

University of Toronto · Business and Computer Science

4th year · 3.3-3.6 GPA · 2 past internships

Slow processBehavioralMultiple rounds

Was expecting heavy technicals going into the first round but really just SQL queries and theory about how you would go about implementing some APIs for financial data was surprised there was no live coding

Nvidia

Machine Learning Engineer

San Jose, CA

Winter 2025No Offer

University of Toronto · Computer Science

3rd year · 3.3-3.6 GPA · 1 past internship

Hard Interview

TechnicalStressful

HireVue first, 6 questions 30 sec prep for each, favorite data structure came up then HackerRank had two medium and hard, solved one fully and partially the other and never got to superday

Questions Asked

  1. 1.“Write a SQL query to find the top 3 products by revenue in each region.”
  2. 2.“Explain the attention mechanism in transformer-based models”

Kinaxis

Machine Learning Developer

Ottawa, ON

Fall 2025No Offer

University of Waterloo · Data Science

4th year · 3.7+ GPA · 2 past internships

Average Interview

TechnicalMultiple rounds

Single hour call with two people about past ML projects. Discussed models I'd built, data I used and how I evaluated them. Made it to the assignment stage but no offer after submitting

Questions Asked

  1. 1.“Explain how backpropagation works in a neural network”
  2. 2.“Tell me about a dataset that was particularly messy or challenging to work with”

Ola

Machine Learning Engineer

Bangalore, KA

Summer 2026Accepted

IIT Bombay · Computer Science and Engineering

3rd year · 2.9-3.2 GPA · 1 past internship

Average Interview

TechnicalMultiple roundsBehavioral

They liked anything location data or time series related given what Ola does. Aptitude was fine. Technical interviews covered ML projects then coding on arrays and graphs. HR had a guesstimate on driver supply

Questions Asked

  1. 1.“Explain what overfitting is and name three ways to prevent it”
  2. 2.“Tell me about a time you had to defend your methodology to skeptical stakeholders”
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Top Companies for Machine Learning Engineer

Adobe (5)Shopify (11)Nvidia (6)Kinaxis (4)Ola (2)

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