DoorDash

Machine Learning Engineer Interview Experience - United States

February 1, 2025

Neutral ExperienceNo Offer

Process

Project Dive

Asked regarding project details.

It needs to use one project you have done before.

Ask and learn many details regarding the project.

The interview lasted about 45 minutes.

Questions

What's the problem? How do you design solutions? How do you choose solutions? What's the outcome? What's the takeaway?

Interview Statistics

The following metrics were computed from 6 interview experiences for the DoorDash Machine Learning Engineer role in United States.

Success Rate

Pass Rate

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

Experience Rating

Positive33%

Neutral33%

Negative33%

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

DoorDash Interview Questions

Single-Threaded CPU

Medium

Simulate a single-threaded CPU processing tasks with varying arrival times and processing durations. Determine the order in which the CPU processes the tasks to minimize idle time, and return the processing order.

Greedy Algorithms

Walls and Gates

Medium

Imagine a grid representing rooms, some empty, some with walls, and some with gates. Fill each empty room with the distance to its nearest gate.

Graphs

Longest Increasing Path in a Matrix

Hard

Find the longest path in a matrix where each step increases in value. You can only move up, down, left, or right.

GraphsDynamic Programming