Ai Research Scientist Interview Questions

Required Skills and Qualifications for a Research Scientist

The requirements for research scientists largely vary by company: some have more stringent standards, while others are more flexible on the number of years of experience, degree levels, etc. Even within companies, job qualifications can change between different teams, so double-check for positions you’re interested in.

Generally, you can be sure to expect the following:

  • Strong programming experience: Python or C++ is for sure the go-to for many top companies, but some also accept similar qualifications with other programming languages. ‌‌
  • M.S., Ph.D. in a relevant field: Looking at top employers, a Master’s is often the minimum degree requirement for research scientists. Relevant fields generally include robotics, statistics, computer science, etc. Note: industry experience can compensate for different degrees, i.e., “B.S. with 3 years of industry experience”. ‌‌
  • Experience with Deep Learning and Machine Learning: This largely varies by company and field, but many positions require you to understand how to apply machine learning concepts to different solutions. ‌‌
  • All Things Data: You should be very familiar with data analysis and visualization, as well as how to redirect your analyses into actionable insights.
  • For some companies and positions, there’s also an additional, rather unique, requirement:

  • Heavy research experience: First-author publications and experience publishing at top-tier conferences is important and a large indicator of your involvement and experience within different projects.
  • What Does A Research Scientist Do? ‌‌

    The divide between research scientists and data scientists isn’t clearly defined. Still, research scientists are generally responsible for building and developing models in a very niche field using complex machine learning, mathematics, and deep learning theory.

    While data scientists and adjacent positions work with broad swaths of data and metrics, research scientists encapsulate a deep understanding within a specific area of expertise, working cross-functionally with different teams to develop prototypes and validate hypotheses.

    Q ‘Customers who bought this also bought this…’ we often see this when we shop on Amazon. What is the logic behind recommendation engines?

    E-commerce websites like Amazon make use of Machine Learning to recommend products to their customers. The basic idea of this kind of recommendation comes from collaborative filtering. Collaborative filtering is the process of comparing users with similar shopping behaviors in order to recommend products to a new user with similar shopping behavior.

    Recommendation System Using AI – Artificial Intelligence Interview Questions – Edureka

    To better understand this, let’s look at an example. Let’s say a user A who is a sports enthusiast bought, pizza, pasta, and a coke. Now a couple of weeks later, another user B who rides a bicycle buys pizza and pasta. He does not buy the coke, but Amazon recommends a bottle of coke to user B since his shopping behaviors and his lifestyle is quite similar to user A. This is how collaborative filtering works.

    Artificial Intelligence Scenario Based Interview Question

    There are two players involved in a game:

  • MAX: This player tries to get the highest possible score
  • MIN: MIN tries to get the lowest possible score
  • The following approach is taken for a Tic-Tac-Toe game using the Minimax algorithm:

    Step 1: First, generate the entire game tree starting with the current position of the game all the way up to the terminal states.

    Tic-Tac-Toe – Artificial Intelligence Interview Questions – Edureka

    Step 2: Apply the utility function to get the utility values for all the terminal states.

    Step 3: Determine the utilities of the higher nodes with the help of the utilities of the terminal nodes. For instance, in the diagram below, we have the utilities for the terminal states written in the squares.

    Tic-Tac-Toe – Artificial Intelligence Interview Questions – Edureka

    Let us calculate the utility for the left node(red) of the layer above the terminal:

    MIN{3, 5, 10}, i.e. 3. Therefore, the utility for the red node is 3.

    Similarly, for the green node in the same layer: MIN{2,2}, i.e. 2.

    Tic-Tac-Toe – Artificial Intelligence Interview Questions – Edureka

    Step 4: Calculate the utility values.

    Step 5: Eventually, all the backed-up values reach to the root of the tree. At that point, MAX has to choose the highest value: i.e. MAX{3,2} which is 3.

    Therefore, the best opening move for MAX is the left node(or the red one). To summarize,

    Minimax Decision = MAX{MIN{3,5,10},MIN{2,2}} = MAX{3,2} = 3

    Top 20 Research Scientist Interview Questions and Answers for 2022

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