Third year internships are a time where students generally love experimenting in different fields, in such a way that by the time they graduate they exactly know where and what they want to do. This article is made with the help of Mehak who had an internship at Samsung, Bangalore. Solely out of sheer interest she pursued a technical internship and the Research and Development department of Samsung India was just the right place for her. She was assigned a project related to machine learning and NLP. Read on to find out about the selection procedure, required skill set and the overall experience.
About the company:
Samsung Research Institute, Bangalore is the largest Samsung R&D centre after South Korea. It has various divisions ranging from software product research to networking and security. Interns were given the opportunity to work on real time projects going on in the company. The best part of the experience was being able to do research in a corporate environment.
Mehak had to put in 45 hours per week, with a minimum of 4 hours per day. Although the timings were flexible, the working environment was pretty relaxed. Every intern was assigned a mentor who was there to help at every step.
There is minimum CG cutoff of 7. The selection procedure consists of 3 rounds. First was an aptitude test where basic logic and reasoning, quant and English questions were asked. This was followed by a coding test with 3 problems to be solved in one hour. Based on these two rounds, the students were shortlisted for a final group discussion round. The topic of group discussion was a design question where they were basically looking for the approach you took more than the technical knowledge you had about it. After the GD round, the selected students were directly awarded internship.
Apart from the cutoff, CG isn’t really a factor. Other than that, one should have a couple of good projects on one’s CV. Mehak had revised topics from probability and data structures and practiced coding questions in a time constraint. Some courses which are important for companies in this field include Data Structures (COL106), Probability & Stochastic Processes (MTL106) and Analysis and Design of Algorithms (COL351).
Mehak suggests,” Practice coding in a time constraint is very important. Be very thorough in Data Structure concepts and applications.”
Article by: Mahak Buria