
Upstart Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Upstart.
Machine Learning Engineer
The machine learning engineering interview was all about theoretical statistical questions. If you didn't have a class on that specific topic, it was hard to answer. Also, the instructions were super unclear.
- What are some pure statistical questions regarding Linear Regression?
Machine Learning Engineer
The interviewer was professional and asked some basic ML knowledge. It was a coding question, coding the decision tree from scratch. They gave hints along the way. The whole meeting took 1 hour, with at least 50 minutes for coding.
- Code a decision tree from scratch, with hints provided during the interview, requiring understanding of the algorithm.
ML Engineer
Had Zoom meetings with 5 engineers and a manager, which were individual interviews. They asked about ML architecture and coding, and I had to set up things like my IDE and diagraming platform myself for the interview.
- Were there any simple questions about ML architecture?
- Was there a simple code to requirements question involving an industry theme?
Upstart Machine Learning Engineer Interview Questions
Quoted word for word from Upstart interview reports.
“What are some pure statistical questions regarding Linear Regression?”
Read reports →“Design typical data pipelines”
Read reports →“Were there any simple questions about ML architecture?”
Read reports →“What probability questions were asked?”
Read reports →“Was there a simple code to requirements question involving an industry theme?”
Read report →“What ML questions were asked?”
Read report →“What coding questions were asked?”
Read report →Formats, difficulty and experience
Across all 6 Upstart interview reports.