Process
The first round was a phone screen with the recruiter, followed by a coding interview.
During the coding interview, the interviewer seemed uninterested and was working on the side. While I was explaining my solution, he wasn't listening. At one point, he said he had accidentally muted me. This was very unprofessional.
The solution was correct, according to this interviewer (though I'm unsure if he truly reviewed my work). However, I was later rejected.
Questions
Easy question on dictionaries in Python.
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Interview Statistics
The following metrics were computed from 5 interview experiences for the Instacart Machine Learning Engineer role in United States.
Success Rate
Instacart's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having negative feelings for Instacart's Machine Learning Engineer interview process in United States.
Instacart Work Experiences
- 5.0Talented, fast-paced environmentMachine Learning Engineer • Current EmployeeToronto, ONAugust 10, 2026Pros: The company is AI-friendly. There are talented employees. There is a good office.Cons: It was very competitive and fast-paced.
- 4.0Good people and interesting work, but uncertainty remainsMachine Learning Engineer • Former EmployeeChicago, ILOctober 28, 2026Pros: Good people and interesting work.Cons: There was uncertainty about the future independence of the company.
- 5.0MLE Intern ExperienceMachine Learning Engineer • Former EmployeeNew York, New York, United StatesNovember 12, 2025Pros: 1. Culture and vibe are great. 2. People are nice. 3. Questions are interesting.Cons: Sometimes I lose the boundary between work and life since it's fully remote. The upside is no commuting time. The downside is I can't stop working.
Instacart Interview Questions
