Senior Software Engineer, Machine Learning, Google Research

Google

Let's explore some string manipulation algorithms. Suppose you are given a string s and you need to reverse the order of words in the string. Each word is separated by a single space, and there are no leading or trailing spaces. For example, if the input string s is the sky is blue, the expected output is blue is sky the. Write a function that takes a string s as input and returns a new string with the words in reversed order. Explain your approach. What is the time and space complexity of your algorithm? Provide example test cases to demonstrate that your function works correctly, including edge cases such as an empty string or a string with only one word. As a follow-up, consider a more complex scenario where the input string s might contain leading or trailing spaces, or multiple spaces between words. How would you modify your algorithm to handle these cases while still producing the correct reversed word order? For instance, given the input hello world , the output should be world hello. Describe the changes needed and analyze the updated time and space complexity.

Google

Let's design a prototype for a system that answers questions based on financial documents. To make this concrete, imagine a user needs to quickly find information within a company's annual report (a PDF containing financial statements, management discussion, etc.). The user might ask questions like: What was the company's revenue for the last fiscal year? What were the primary risks identified by management? How did operating expenses change compared to the previous year? Describe your approach to building a prototype that can accurately and efficiently answer these types of questions. Consider aspects such as: Document ingestion and processing:** How would you load and pre-process the financial documents (e.g., PDF parsing, text extraction)? Information retrieval:** What techniques would you use to identify the relevant sections of the document that contain the answer? Question answering:** How would you extract the answer from the relevant text (e.g., using rule-based methods, machine learning models)? Data storage:** How would you store the information from the documents to allow for efficient querying? User interface:** How would the user interact with the system to ask questions and receive answers? Evaluation:** How would you evaluate the performance of your prototype?

Google

Where do you see yourself in 5 years?