Amazon Machine Learning Engineer Interview Experiences & Questions
5 candidates share their Amazon Machine Learning Engineer interviews: each round, the questions asked and the outcome. Latest: Sep 2026.
What to expect · Amazon Machine Learning Engineer
Based on 5 real interviews
The Amazon Machine Learning Engineer interview process
Most common round types: Coding (1), Technical (1).
Real Amazon Machine Learning Engineer interview questions
- Ask graduation date
- What evaluation metrics would you use to evaluate video generation?
- ML coding and research
- what to do when users have subjective standards about the generated videos
- Research Interest
- Design an ML experiment tracking and analysis platform.
- Find the maximum subarray sum.
- How would you write a KNN search using base python?
- Does quantization cost increase bias, variance, or both?
- In K-Nearest Neighbors (KNN), does setting k=1 lead to higher variance or higher bias?
- What methods or metrics did you use to evaluate how well your LLM performs?
All 5 Amazon Machine Learning Engineer interview experiences
“The questions are not difficult but do require some actual experiences. Not much preparation can help.”
“It started with self-introduction and the interviewer wanted to know more about my research. So we main discussed about the papers and the potential topic I can do during the internship”
“in depth experience of transformers is required and learn to explain the transformers as well. the overall experience was good”
“The interview loop was definitely more AI/ML focused than software focused. There was no leetcode really, but I did have to write a simple KNN algorithm from scratch.”
“Got a verbal offer but didn't match to the original team. I did eventually get matched to the next team, so don't give up if you get a verbal offer”
More: all Amazon interviews · Machine Learning Engineer interviews at every company
Frequently asked questions
How many rounds are in the Amazon Machine Learning Engineer interview?
Candidates report a typical 3 rounds, usually including a recruiter screen, online assessment, phone screen, technical round.
How hard is the Amazon Machine Learning Engineer interview?
Candidates rate it 3.2/5 on average (medium), across 5 interviews.
How long does the Amazon Machine Learning Engineer hiring process take?
About 6 weeks from first contact to decision, based on reported timelines.
What percentage of Amazon Machine Learning Engineer candidates get an offer?
75% of candidates with a final result got an offer (3 of 4).
What does the Amazon Machine Learning Engineer interview focus on?
The most common round types are Coding, Technical.