Software Engineer, Systems ML - Frameworks / Compilers / Kernels

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You are given a binary tree. Write a function to flatten the binary tree into a linked list in-place. The linked list should be in the same order as a pre-order traversal of the binary tree. This means that for each node, the right pointer should point to the next node in the pre-order traversal, and the left pointer should be null. For example, consider the following binary tree: 1 / 2 5 / 3 4 6 After flattening, the tree should look like this: 1 -> 2 -> 3 -> 4 -> 5 -> 6 Each node's right pointer points to the next node in the pre-order traversal, and all left pointers are null. Clarifications: The function should modify the tree in-place. The pre-order traversal should be followed. The left pointers of all nodes should be set to null after flattening. Could you provide an efficient algorithm to accomplish this, and what is the time and space complexity of your solution?

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Design an Autocomplete Service Let's design an autocomplete service, similar to what you'd find in Google Search or a code editor. The service should provide suggestions as the user types a query. Consider the following requirements: Functionality: The service should return the top k most relevant suggestions based on the user's input. Suggestions should be ranked by popularity (e.g., frequency of search). The system should support a large number of concurrent users. The system should be able to handle a large vocabulary of terms. The service needs to provide real-time or near real-time suggestions (low latency). The service should be fault-tolerant and highly available. Example: If a user types softw, the service might return: [software engineer, software developer, software company, software jobs]. If a user types ja, the service might return: [java, javascript, jakarta, james]. Considerations: How would you store the data to enable fast lookups? How would you handle updates to the suggestion data (e.g., new terms, updated popularity)? How would you scale the system to handle a large number of requests? What algorithms and data structures would you use? How would you optimize for latency? How would you handle different languages or character sets? How would you measure the performance of the service? Walk me through the design of this autocomplete service, considering the key components, data structures, algorithms, and scaling strategies. Describe any trade-offs you would make.

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Where are you from in the US?