nearmap Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at nearmap.
nearmap
Machine Learning Engineer
Mid Difficult Positive experience No offer 5 rounds
Interview process
Phone screen Technical screen Take home Presentation Background check
Interview formats
Technical Coding Presentation Behavioral
Started with a phone screen call, then interviewed with the team lead. If that went well, I had to do a tech test/coding challenge, which I then had to present to a team of 3 in the next round. After that, there was a culture fit interview. They mentioned I should be ready for questions about system design and scaling.
Confirmed questions1 question
- What are your strategies for scaling a solution to accommodate a significantly larger user base or request volume?
nearmap
Machine Learning Engineer
Mid Difficult Positive experience No offer 4 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Technical Coding System Design
So, the interview process happened in November 2022 and had 4 stages. The first stage was pretty standard, just an intro where I talked about myself and the company, and we discussed my background. Then came a take-home assignment, which was the second stage. The third stage was a technical interview. I was supposed to have a fourth stage with a senior director, but I didn't move on to that round.
Confirmed questions3 questions
- The take-home assignment was confidential, but it should be manageable for someone with a good understanding of opencv, numpy, and other standard Python computing libraries.
- The third stage focused on systems thinking, building on the take-home assignment, with questions like how to scale the algorithm.
- There were also some role-specific questions about MLOps.
nearmap
Machine Learning Engineer
Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Behavioral Technical System Design
First, I had an intro call with the Director. Then, there was a homework assignment, which I completed. The third round involved meeting two engineers where the focus was on architectural-level questions. I started to question the team's culture after this round. While I believe the team is working on something technically interesting, there seems to be a gap between the skills they're looking for and the job title. Despite it being a Machine Learning Engineer role, no ML-related questions were asked; it felt more like a pure data engineer position. The recruiter or hiring team should have clarified this upfront.
Confirmed questions2 questions
- Can you discuss your previous experience?
- Could you answer some questions about designing data systems?
nearmap Machine Learning Engineer Interview Questions
Quoted word for word from nearmap interview reports.
“How can we segment pools and solar panels from images?”
Read reports →“What's your approach to sampling to get the most solar panels in an image?”
Read reports →“What are your strategies for scaling a solution to accommodate a significantly larger user base or request volume?”
Read reports →“Could you answer some questions about designing data systems?”
Read reports →“Can you discuss your previous experience?”
Read report →Formats, difficulty and experience
Across all 5 nearmap interview reports.