Process
The interview included a LeetCode-style topological sort problem and a deep dive into past projects. The interview was good, but I wasn't well prepared for the coding rounds. The interviewers were fun to talk to.
Questions
I don't remember exactly, but it was some topological sort question.
Was this helpful?
Interview Statistics
The following metrics were computed from 6 interview experiences for the DoorDash Machine Learning Engineer role in United States.
Success Rate
0%
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 Work Experiences
4.0
There are pros and cons..
Machine Learning Engineer • Current Employee
San Francisco, California, United States
March 12, 2025
Pros: Good compensation due to stock appreciation and lots of growth opportunities.
Cons: Politics (chaotic management) and cross-functional collaboration take up the majority of my time.
5.0
Great Perks, Little Balance
Software Engineer • Current Employee
San Francisco, California, United States
September 28, 2017
Pros: - Great benefits (delivery fee, gym, lunch & dinner)
- Great learning opportunities
- Fun offsite every quarter
- You can be an owner here
- HQ office is really nice
Cons: - Lack of cultural diversity.
- Lack of work/life balance.
- Not enough senior engineers.
1.0
It's getting worse and worse
Software Engineer • Current Employee
San Francisco, California, United States
February 2, 2023
Pros: It used to be a nice place.
Cons: Since the last layoffs, the company has been pushing policies that limit the flexibility of WLB.
"Let's work more with fewer people."
Stocks plunged.
"You want to be fully remote? No worries, we will limit your TC and benefits because your location affects your impact."
"Oh, your Intel Mac is slow? Just wait 4 years for a refresh."
Inflation was 8%? We will give you a 5% raise.
- 4.0There are pros and cons..Machine Learning Engineer • Current EmployeeSan Francisco, California, United StatesMarch 12, 2025Pros: Good compensation due to stock appreciation and lots of growth opportunities.Cons: Politics (chaotic management) and cross-functional collaboration take up the majority of my time.
- 5.0Great Perks, Little BalanceSoftware Engineer • Current EmployeeSan Francisco, California, United StatesSeptember 28, 2017Pros: - Great benefits (delivery fee, gym, lunch & dinner) - Great learning opportunities - Fun offsite every quarter - You can be an owner here - HQ office is really niceCons: - Lack of cultural diversity. - Lack of work/life balance. - Not enough senior engineers.
- 1.0It's getting worse and worseSoftware Engineer • Current EmployeeSan Francisco, California, United StatesFebruary 2, 2023Pros: It used to be a nice place.Cons: Since the last layoffs, the company has been pushing policies that limit the flexibility of WLB. "Let's work more with fewer people." Stocks plunged. "You want to be fully remote? No worries, we will limit your TC and benefits because your location affects your impact." "Oh, your Intel Mac is slow? Just wait 4 years for a refresh." Inflation was 8%? We will give you a 5% raise.
DoorDash Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
