Machine Learning Interviews

Machine Learning Interview Questions

"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."

8,203 machine learning interview questions shared by candidates

Online interviews: 1. 30 min interview with the recruiter - about my goals and motivation 2. Coding interview - no difficult algorithms to come up with, rather a simple algo but analysed in detail with all corner cases and potential issues 3. Manager interview - discussed my current job and projects, then an ML case-study Interviews during the day in the office: 4. Interview with one of co-founders - discussion about some ML algorithms + time to get to know each other 5. System-design interview - design a training pipeline satisfying specific conditions 6. Problem-solving interview: 2 logic puzzles
avatar

Machine Learning Engineer

Interviewed at Nomagic

4.8
Apr 8, 2024

Online interviews: 1. 30 min interview with the recruiter - about my goals and motivation 2. Coding interview - no difficult algorithms to come up with, rather a simple algo but analysed in detail with all corner cases and potential issues 3. Manager interview - discussed my current job and projects, then an ML case-study Interviews during the day in the office: 4. Interview with one of co-founders - discussion about some ML algorithms + time to get to know each other 5. System-design interview - design a training pipeline satisfying specific conditions 6. Problem-solving interview: 2 logic puzzles

Viewing 1391 - 1400 interview questions

Glassdoor has 8,203 interview questions and reports from Machine learning interviews. Prepare for your interview. Get hired. Love your job.