Nike

Machine Learning Engineer Interview Experience

April 1, 2018

Negative ExperienceNo Offer

Process

Nike visited the university campus and shortlisted my resume for the first round. The interview lasted for twenty minutes on the college campus. The second round was a coding interview on a later date.

Questions

Standard recruiter questions, nothing out of the blue.

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Nike Machine Learning Engineer role in United States.

Success Rate

0%

Pass Rate

Nike's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive25%

Neutral50%

Negative25%

Candidates reported having mixed feelings for Nike's Machine Learning Engineer interview process in United States.

Nike Work Experiences

Like the company with no downsides

Machine Learning Engineer • Current Employee

Pros: I like the company very much.

Cons: No cons at all, like Nike.

Like the company with no downsides

Machine Learning Engineer • Current Employee

Pros: I like the company very much.

Cons: No cons at all, like Nike.

Chill job, no growth

Machine Learning Engineer • Current Employee

Pros: Easy job, lots of free time, and most talented engineers have unfortunately left.

Cons: No chance to get promoted, as this company does not believe in promotions, particularly in their technology department.

Chill job, no growth

Machine Learning Engineer • Current Employee

Pros: Easy job, lots of free time, and most talented engineers have unfortunately left.

Cons: No chance to get promoted, as this company does not believe in promotions, particularly in their technology department.

Good Company

Software Engineer • Current Employee

Bangalore Rural

Pros: Good work life balance and great culture

Cons: There is nothing much to say for cons.

Software Engineer • Current Employee

Bangalore Rural

Pros: Good work life balance and great culture

Cons: There is nothing much to say for cons.

Like the company with no downsides

Machine Learning Engineer • Current Employee

Pros: I like the company very much.

Cons: No cons at all, like Nike.

5.0
Like the company with no downsides
Machine Learning Engineer • Current Employee
Beaverton, OR
July 30, 2026
Pros: I like the company very much.
Cons: No cons at all, like Nike.

Chill job, no growth

Machine Learning Engineer • Current Employee

Pros: Easy job, lots of free time, and most talented engineers have unfortunately left.

Cons: No chance to get promoted, as this company does not believe in promotions, particularly in their technology department.

2.0
Chill job, no growth
Machine Learning Engineer • Current Employee
Portland, OR
May 6, 2026
Pros: Easy job, lots of free time, and most talented engineers have unfortunately left.
Cons: No chance to get promoted, as this company does not believe in promotions, particularly in their technology department.

Good Company

Software Engineer • Current Employee

Bangalore Rural

Pros: Good work life balance and great culture

Cons: There is nothing much to say for cons.

5.0
Good Company
Software Engineer • Current Employee
Bangalore Rural
August 6, 2026
Pros: Good work life balance and great culture
Cons: There is nothing much to say for cons.

Nike Interview Questions

Happy Number

Determine if a number is a 'happy number'. A happy number eventually reaches 1 when replaced by the sum of the squares of its digits, repeating the process until it does.

ArraysRecursionTwo Pointers

Can Place Flowers

You're given a flowerbed represented by an array of 0s and 1s, where 0 means empty and 1 means planted. Determine if you can plant a given number of new flowers without violating the rule that adjacent plots cannot be planted.

ArraysGreedy Algorithms

Diagonal Traverse

Traverse a matrix diagonally, returning the elements in a specific zig-zag order. You'll need to manage the direction and boundaries to output the elements correctly.

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