Software Engineers working on Machine Learning Engineers Models
Other relevant role-responsibility dynamics (some companies have Data Scientists/Research Engineers or Software Engineers for this job)
Machine Learning Interview Process at Tier-1 Companies
We prepare you for all stages of a typical Machine Learning interview process at FAANG and Tier-1 companies
Initial Technical Screening
Basic ML understanding — discussion on past projects
Coding problems
Behavioral Round
Questions related to your job experience
Discussions on past projects
Open-ended questions to gauge if you're a "good fit"
Onsite: 4-5 Rounds
Coding round: Can be a mix of project discussion + coding
System design round
For candidates with < 3 years of experience, ML system design is often replaced by another core ML understanding round of medium/high difficulty
ML fundamental round: Also known as ML depth round
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What our students say
Flavia Vela
Senior Software Engineer
Offers from
The classes, workshops, quizzes, practice problems, and mock interviews provided me with the knowledge, tools, and the feedback that I was missing. Interview Kickstart showed me how to prepare for success.
Akshay Lodha
Data Engineer
Offers from
"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."
Sujay Ghosh
Software Development Manager
Offers from
“Interview Kickstart's program is wonderful. I found the classes as well as the materials provided by Interview Kickstart very helpful. In the mock interview sessions, I was able to clear my concerns on a 1-on-1 basis.”
Frequently Asked Questions
What coding topics are essential for Machine Learning interviews?
What system design concepts are essential for Machine Learning interviews, and how does IK’s program approach them?