JP Morgan Chase Entry Level Machine Learning Engineer | February 2021

?
AnonymousFebruary 23, 2022, 01:17 AM
Upvote
2
Downvote

Company: JP Morgan Chase

Location: Bengaluru, India

Role: Machine Learning Engineer

Level: Entry Level

Outcome: Rejected

When did you have this interview?: More Than 1 Year Ago

What steps were in the interview process? How far did you get? What do you think about the overall interview experience?

I was unable to solve the last probability ques. Was on right track almost in end of interview. 218 students were selected for intern JPMC(Quant Research @ 1.5Lakhs stipend)

What kind of technical questions did you get asked?

Round 1: Online Coding interview Subsection 1 (30 mins): MCQ round having 30 questions of 11th and 12th Math (complex numbers, trigonometry, calculas), Probability (Expectancy, bayes theorem, other probability question), Coding (Input/Output Question, Time complexity, Stack Push and Pop, Prefix, Postfix). Subsection 2 (30 mins): 2 Coding Question 1 easy level (Find max in array), other was medium level (Find all the elements in tree which are at same level, where level is depth of smallest path from root to leaf)

Round 2: Videocall Interviewer greeted me and told this round is only on Probability.(This was scheduled same day at 3pm) He asked Following Probability questions: Q1: What is Random variable? Q2: What is Sample space? Q3: What is Conditional Probability? followed by a Numerical on it. Q4: What is a Normal Distribution? Q5: What is Bayes theorem? followed by a numerical on it. Q6: probability of car accident in one hour is 14. What is the probability of accident in half hour? Q7: Two die are thrown, what is the probability of getting multiple of 3. Q8: There is 10 Black socks in drawer, 10 white socks. What is the minimum number of socks we need to pick out such that we get a pair?

Round 3:

He asked Following questions: Q1: Introduction and Explain your resume? Q2: What if we have one class (which has array functionality) and other class (stack) which we will inherit from array class what could possibly go wrong here? Q3: What is Static data member in Classes? Q4: What is Static member function in Classes? Can static member functions call normal data member of classes? Q5: you are given a 2D grid, each index has some value associated with it. From Bottom right cornor you need to find a path till Top left cornor where you can get maximum sum of values from index occuring on the path, You can go in Up direction, Left direction or diagonal up-left direction?

I was asked for approach (No coding was done on compiler)

Round 4:

This round happened around 5pm in evening, i got the call from the interviewer to join Zoom call immediately. In this round (it was kind of rapid fire round on DSA,) Following questions were asked: Q1: Introduce yourself and explain your resume. Q2: What is your favorite data structure and why? I said it is Deque, as it is can be helpful in many questions Q3: Explain what are segment trees. Also give a question were we can use them. Q4: What are tries, and give one application of tries. Q5: Given one array you need to give approach to find out all the permutation of the elements in it. (I gave recursive approach) Q6: Given the same array and value k, you need to tell if sum of subset can be equal to k. (This question is modification of 0/1 Knapsack. I explained the recursive approach)

Interviewer told me to wait for last HR round (I was on cloud 9 after listening to this as it was elimination round)

Round 5:

This round happened around 6:30pm in evening, i got the call from the interviewer to join Zoom call immediately. It was HR+(Probability mix round). He asked me following questions: Q1: Introduce and explain your resume. As i was unable to solve 2 probability question in Round 2. The interviewer immediately asked me 2 probability questions back to back. Q2: What is bayes theorem and a numerical on it. Q3: If there is a frog which can go one step forward with probability 34. and one step backward with 14. What is expectancy to reach 7 steps forward.

JP Morgan Chase
Machine Learning Engineer
I
Ichimoku
Top comment
Lorem ipsum dolor sit amet, consectetur adipiscing elit
sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
F
Fibonacci
Sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et

quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est
I
Ichimoku
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium 😀
F
Fibonacci
Sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et

quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est
There's so much more to Interview Query! Sign up to access hundreds of interview questions, expert coaching and a flourishing data science community.