Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 7 user submitted interviews for this role. To compare, the hiring process at Leap Tools overall takes an average of 23 days.
Common stages of the interview process at Leap Tools as a Machine Learning Engineer according to 7 Glassdoor interviews include:
Skills test: 43%
Phone interview: 29%
One on one interview: 29%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Leap Tools in Jun 2026
Interview
Basically the same questions as before about pagination (implement pagination at a pivot index) and symmetric 2D binary matrix (make the matrix both horizontally and vertically symmetrical using minimum row and column insertions)
The interview first started with your self-Introduction, your hobbies, and the experience of there Demo for 10 min and coding question 40 min. Overall experience is not bad, coding question was a bit tricky.
I applied through a staffing agency. I interviewed at Leap Tools in Mar 2026
Interview
The process consisted of two technical coding rounds. The first round focused on implementing a pagination system with strict wrap-around and edge-case handling. The second round involved a 2D binary matrix problem requiring structural transformations (vertical and horizontal symmetry using insertions only). Both rounds emphasized attention to detail, correctness, and clear reasoning under constraints. The final interviewer indicated they were very satisfied with the performance and suggested I would likely move forward, but I later received a rejection email stating the decision was highly competitive.
Interview questions [1]
Question 1
Design and implement an algorithm to make a 2D binary matrix vertically and horizontally symmetric using only full row and column insertions.