Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
No ML question. Simple HR stuff. Please choose a technical person from your team for the interview and the inspection of the test codes. People with a BSc in Commerce/ Marketing do not necessarily grasp the ML algorithms and codes. As such, they provide totally irrelevant and non-ML comments on your code.
Sample Project
Nothing unexpected but 24 hours time limit!!!
What is your startup Idea?
Build a ML classifier that is able to predict whether a Kickstarter project will be successful or not.
General Questions around Machine Learning. Experience with python, libraries like numpy etc.
Standard questions such as : How would you contribute to the company ? Why Sony ? Why research ?
Calculate the distribution of a Binomial problem
Basic algorithm and data structure questions.
Some ML questions but also quite a few questions about general SE/system architecture question. The global CS level in the team is pretty high (even in the ML team).
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