Machine Learning Software Engineer L4/L5

Netflix

You are given the definition of a binary tree node: class Node: def init(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right Write a function is_bst(root) that takes the root of a binary tree as input and returns True if the tree is a valid Binary Search Tree (BST), and False otherwise. Definition of a BST: The left subtree of a node contains only nodes with keys less than the node's key. The right subtree of a node contains only nodes with keys greater than the node's key. Both the left and right subtrees must also be binary search trees. Example 1: Input: root = [2,1,3] Output: true 2 / 1 3 Example 2: Input: root = [5,1,4,null,null,3,6] Output: false 5 / 1 4 / 3 6 Explanation: The root node's value is 5 but its right child's value is 4. Constraints: The number of nodes in the tree is in the range [1, 10000]. -10000 <= Node.val <= 10000 Your solution should handle edge cases such as an empty tree or a tree with only one node.

Netflix

Let's design a tool to evaluate GitHub repositories based on metrics like stars and forks. Functionality:** The tool should: Fetch data from the GitHub API (stars, forks, open issues, contributors, etc.) for a given repository. Calculate a popularity score based on a weighted combination of these metrics. For example, stars might have a higher weight than open issues. Allow users to compare multiple repositories side-by-side. Present the data in a clear and visual way (charts, graphs, tables). Allow users to customize the weights used in the popularity score calculation. Handle API rate limiting gracefully (e.g., caching, authentication). Include features for trending topics/repositories. Example:** A user wants to compare the popularity of facebook/react versus angular/angular. They should be able to enter these repositories into the tool and see a comparison table showing the number of stars, forks, open issues, and the calculated popularity score for each. The user should also be able to adjust the weight given to stars in the popularity score to see how it affects the overall ranking. Consider additional features like displaying the rate of growth over the last month/year. What are the key components, architecture, and considerations for building such a tool, and what technologies would you choose and why?

Netflix

Let's discuss your previous projects in detail. I'd like to understand your role, the challenges you faced, and the solutions you implemented. To help me understand the scope of your work, please walk me through a project where you significantly contributed to the success of the team or the company. Elaborate on the technologies you used, the architecture you designed (if applicable), and the methodologies you followed (e.g., Agile, Waterfall). Be prepared to discuss specific technical decisions you made and the trade-offs you considered. For instance, can you describe a situation where you had to choose between performance and scalability, and how you arrived at your decision? Or, tell me about a time when you had to debug a particularly complex issue in a project? What steps did you take to identify the root cause, and how did you go about fixing it? I am also interested in hearing about any failures or setbacks you experienced during a project. What did you learn from those experiences, and how did you apply those lessons in subsequent projects? Finally, can you quantify the impact of your contributions to the project in terms of metrics such as improved performance, reduced costs, or increased user engagement?