Reddit

Android Engineer Interview Experience - San Francisco, California

March 1, 2017

Positive ExperienceNo Offer

Process

Reddit was one of my best interview experiences. Everyone at the office is really passionate about the work, and it definitely shows. I would highly recommend it to anyone who gets an offer.

They generally conduct three interviews:

One whiteboard interview
One coding interview
One interview specific to the role

Study up on Data Structures and Algorithms (DS&A), Object-Oriented Programming (OOP), and system design & architecture. Make sure your implementation skills are also up to par; don't just focus on whiteboarding.

Questions

I wasn't expecting to write actual code, which threw me off.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Reddit Android Engineer role in San Francisco, California.

Success Rate

0%

Pass Rate

Reddit's interview process for their Android Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for Reddit's Android Engineer interview process in San Francisco, California.

Reddit Work Experiences

Lots to build

Machine Learning Engineer • Current Employee

San Francisco, California, United States

Pros: There's an insane amount of greenfield ML work to be done here. People seem to be genuinely excited about the future of Reddit. There's an ability to have a ton of impact as an individual contributor. Perks and stuff are good. There's lots of potential for equity to be meaningful.

Cons: - There are definitely some growing pains, i.e., old-timers leaving and new people joining. - I've heard there have been some reorganizations, but it seems to be pretty clear now.

Machine Learning Engineer • Current Employee

San Francisco, California, United States

Pros: There's an insane amount of greenfield ML work to be done here. People seem to be genuinely excited about the future of Reddit. There's an ability to have a ton of impact as an individual contributor. Perks and stuff are good. There's lots of potential for equity to be meaningful.

Cons: - There are definitely some growing pains, i.e., old-timers leaving and new people joining. - I've heard there have been some reorganizations, but it seems to be pretty clear now.

Flexibility Great, Culture Bad

Software Engineer (SWE II) • Current Employee

San Francisco, California, United States

September 24, 2024

Pros: Remote working flexibility is pretty good.

Cons: The culture is really bad. Too much "brotherhood" makes the company not engineering-focused.

Flexibility Great, Culture Bad

Software Engineer (SWE II) • Current Employee

San Francisco, California, United States

September 24, 2024

Pros: Remote working flexibility is pretty good.

Cons: The culture is really bad. Too much "brotherhood" makes the company not engineering-focused.

Used to be good

Staff Machine Learning Engineer • Former Employee

San Francisco, California, United States

Pros: Fully remote. Eng culture used to be good.

Cons: Things change a lot after IPO. Random layoffs from time to time.

Used to be good

Staff Machine Learning Engineer • Former Employee

San Francisco, California, United States

Pros: Fully remote. Eng culture used to be good.

Cons: Things change a lot after IPO. Random layoffs from time to time.

Lots to build

Machine Learning Engineer • Current Employee

San Francisco, California, United States

Pros: There's an insane amount of greenfield ML work to be done here. People seem to be genuinely excited about the future of Reddit. There's an ability to have a ton of impact as an individual contributor. Perks and stuff are good. There's lots of potential for equity to be meaningful.

Cons: - There are definitely some growing pains, i.e., old-timers leaving and new people joining. - I've heard there have been some reorganizations, but it seems to be pretty clear now.

5.0
Lots to build
Machine Learning Engineer • Current Employee
San Francisco, California, United States
June 19, 2019
Pros: There's an insane amount of greenfield ML work to be done here. People seem to be genuinely excited about the future of Reddit. There's an ability to have a ton of impact as an individual contributor. Perks and stuff are good. There's lots of potential for equity to be meaningful.
Cons: - There are definitely some growing pains, i.e., old-timers leaving and new people joining. - I've heard there have been some reorganizations, but it seems to be pretty clear now.

Flexibility Great, Culture Bad

Software Engineer (SWE II) • Current Employee

San Francisco, California, United States

September 24, 2024

Pros: Remote working flexibility is pretty good.

Cons: The culture is really bad. Too much "brotherhood" makes the company not engineering-focused.

2.0
Flexibility Great, Culture Bad
Software Engineer (SWE II) • Current Employee
San Francisco, California, United States
September 24, 2024
Pros: Remote working flexibility is pretty good.
Cons: The culture is really bad. Too much "brotherhood" makes the company not engineering-focused.

Used to be good

Staff Machine Learning Engineer • Former Employee

San Francisco, California, United States

Pros: Fully remote. Eng culture used to be good.

Cons: Things change a lot after IPO. Random layoffs from time to time.

2.0
Used to be good
Staff Machine Learning Engineer • Former Employee
San Francisco, California, United States
April 9, 2025
Pros: Fully remote. Eng culture used to be good.
Cons: Things change a lot after IPO. Random layoffs from time to time.

Reddit Interview Questions

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.

Number of Ways to Buy Pens and Pencils

You're given a budget and prices for pens and pencils. Determine how many different combinations of buying pens and pencils you can afford within your budget.

Greedy Algorithms

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.

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