MPL

2025-26 · Internship

1. 1

   Resume shortlist

   Resume and referral shortlist

   No online assessment; shortlist by resume plus a referral via professional network.

2. 2

   Technical interview

   Interview round 1: ML fundamentals
   Google Meet45 minvirtual

   resume deep dive · precision and recall · bias-variance

3. 3

   Technical interview

   Interview round 2: live coding
   Google Meet45 minvirtualeasy

   SQL joins · arrays · binary search · pandas notebook

4. 4

   Technical interview

   Interview round 3: decision trees
   Google Meet45 minvirtual

   decision tree fundamentals · entropy · tradeoffs and metrics · ensembles · gradient boosting

5. 5

   Managerial interview

   Chat with division lead
   Google Meet15 minvirtual

Advice from candidates

5 pieces of advice, in their own words. Names removed.

• you may practice doc coding, helps across many companies for whom you give online interview

  general · 2025-26

• Introductory ML course is a must. If you have studied the college's ML course (I had before the interview) then you are good to go.

  preparation · 2025-26

• Projects can help a lot if they also involve pandas/python, pyspark (their main library), sql, sheets, cloud (aws/gcp), real models deployed, data handling - cleaning, manipulation etc.

  resume · 2025-26

• product knowledge and good communication skills help, but their payoff will be at the job, less at the interview stage.

  general · 2025-26

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Question patterns reported

The kind of problem, not the problem itself. Our practice questions are written to match these patterns.

• Technicalarray problem with clever indexing, coded in a shared document
• Technicalpandas data manipulation on a given CSV, internet allowed