Snap

Machine Learning Engineer Intern Interview Experience

March 1, 2022

Positive ExperienceGot Offer

Process

There was no online coding round.

Total of three one-hour ML rounds were held. The first round focused mostly on ML and math basics. Later rounds concentrated on projects and problem-solving discussions.

Overall, it was a great experience. No DSA questions were asked in any round.

Questions

ML questions with gradually increasing difficulty.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Snap Machine Learning Engineer Intern role in United States.

Success Rate

100%

Pass Rate

Snap's interview process for their Machine Learning Engineer Intern roles in the United States is incredibly easy as the vast majority of engineers get an offer after going through it.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for Snap's Machine Learning Engineer Intern interview process in United States.

Snap Work Experiences

Good Pay, Bad Onboarding

Machine Learning Engineer Intern • Former Employee

Pros: Good pay, fun technical work, good benefits.

Cons: Bad communication standards, bad internal documentation, bad onboarding.

Good Pay, Bad Onboarding

Machine Learning Engineer Intern • Former Employee

Pros: Good pay, fun technical work, good benefits.

Cons: Bad communication standards, bad internal documentation, bad onboarding.

Friendly Team, Unstable Management

Software Engineer • Former Employee

Pros: Lots of friendly engineers, pay was okay in theory.

Cons: Management is unstable, which reflects on the company as a whole. Every week, we would get an email about senior position changes and reorganizations. The pay is too heavily reliant on unreliable stock.

Friendly Team, Unstable Management

Software Engineer • Former Employee

Pros: Lots of friendly engineers, pay was okay in theory.

Cons: Management is unstable, which reflects on the company as a whole. Every week, we would get an email about senior position changes and reorganizations. The pay is too heavily reliant on unreliable stock.

A Place to Grow and Contribute Fast

Software Engineering Manager • Former Employee

Seattle, Washington, United States

Pros: Lots of options to make an impact quickly. Company is still fairly young, so there is less red tape. They offer great compensation and stock options. You will work with some really smart people.

Cons: The CEO is quite young and leads with a confidence accessible only to the inexperienced. They have a lot of cross-pollination from Microsoft, Amazon, and Google. This mix of experience from other big tech companies with strong internal cultures has led to some infighting.

A Place to Grow and Contribute Fast

Software Engineering Manager • Former Employee

Seattle, Washington, United States

Pros: Lots of options to make an impact quickly. Company is still fairly young, so there is less red tape. They offer great compensation and stock options. You will work with some really smart people.

Cons: The CEO is quite young and leads with a confidence accessible only to the inexperienced. They have a lot of cross-pollination from Microsoft, Amazon, and Google. This mix of experience from other big tech companies with strong internal cultures has led to some infighting.

Good Pay, Bad Onboarding

Machine Learning Engineer Intern • Former Employee

Pros: Good pay, fun technical work, good benefits.

Cons: Bad communication standards, bad internal documentation, bad onboarding.

1.0
Good Pay, Bad Onboarding
Machine Learning Engineer Intern • Former Employee
April 28, 2022
Pros: Good pay, fun technical work, good benefits.
Cons: Bad communication standards, bad internal documentation, bad onboarding.

Friendly Team, Unstable Management

Software Engineer • Former Employee

Pros: Lots of friendly engineers, pay was okay in theory.

Cons: Management is unstable, which reflects on the company as a whole. Every week, we would get an email about senior position changes and reorganizations. The pay is too heavily reliant on unreliable stock.

2.0
Friendly Team, Unstable Management
Software Engineer • Former Employee
None
March 5, 2024
Pros: Lots of friendly engineers, pay was okay in theory.
Cons: Management is unstable, which reflects on the company as a whole. Every week, we would get an email about senior position changes and reorganizations. The pay is too heavily reliant on unreliable stock.

A Place to Grow and Contribute Fast

Software Engineering Manager • Former Employee

Seattle, Washington, United States

Pros: Lots of options to make an impact quickly. Company is still fairly young, so there is less red tape. They offer great compensation and stock options. You will work with some really smart people.

Cons: The CEO is quite young and leads with a confidence accessible only to the inexperienced. They have a lot of cross-pollination from Microsoft, Amazon, and Google. This mix of experience from other big tech companies with strong internal cultures has led to some infighting.

4.0
A Place to Grow and Contribute Fast
Software Engineering Manager • Former Employee
Seattle, Washington, United States
March 29, 2022
Pros: Lots of options to make an impact quickly. Company is still fairly young, so there is less red tape. They offer great compensation and stock options. You will work with some really smart people.
Cons: The CEO is quite young and leads with a confidence accessible only to the inexperienced. They have a lot of cross-pollination from Microsoft, Amazon, and Google. This mix of experience from other big tech companies with strong internal cultures has led to some infighting.

Snap Interview Questions

LRU Cache

Design a data structure that acts as a Least Recently Used (LRU) cache. Implement methods to get and put key-value pairs, evicting the least recently used entry when the cache is full.

Minimum Window Substring

Find the smallest substring within a larger string that contains all the characters of a target string. You need to locate the minimum window that satisfies this condition.

StringsSliding Windows

Word Ladder

Transform one word into another, one letter at a time, using only words from a given dictionary. Find the shortest sequence of words to reach the target.

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