Machine Learning Engineer Interview Experience
Interview process
The overall process is okay. Although there were multiple interview rescheduling for the onsite. I feel I did not do well for the ML System Design round. The question was asking how to design a chat bot for merchants, which is something I did not prep for. They would ask you to draw out design, how to make modeling choices, and etc. Pretty detailed oriented so be prepared to speak on many of that fronts.
- Recruiter screen
- Phone interview
- Final round
Interview rounds
2 questions across 2 roundsPhone interview
1 questionQuestion types asked
Specific questions asked
Deepdive on a project you worked on in the past
Final round
1 questionQuestion types asked
Specific questions asked
Interview tips
Understand the ML system you have built throughout. How to deploy, fallback options, and how to scale, etc
Company culture
Sounds like not much work-life balance you can after joining the team. However, the interviewer has told me Claude Code and other assisted coding tools are generally available to the entire company.
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More DoorDash interview experiences
“The overall process is smooth. Did asked very deeply on one of your chosen projects. Asked how to curate the training data, model training strategy, model evaluation and inference, and deployment. So be ready to speak on these. ”
“Their coding round was basically, "build a backend payout service for Dashers, model the objects, pull activity data from an upstream API, and calculate daily pay plus bonus." That felt way closer to real work than a normal algorithm round.”
