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Mainly behavioral questions. Describe a time you faced a difficult situation.... Most of the questions started with management type questions. How many people you managed, etc.? The role did not ask for any management experience. Although I did. I quickly adapted to the questions. Have you ever done natural language processing (NLP)? I answered, some but nothing production capable. Well that's 50% of this job. If its 50%, why am I here? My resume did not have anything about NLP, and the job description had one line about it. Amazing. Then some more behavioral questions, and how you ever used <insert app name>?
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Data Science Lead

Interviewed at CAE USA

3.3★
Apr 16, 2021

Mainly behavioral questions. Describe a time you faced a difficult situation.... Most of the questions started with management type questions. How many people you managed, etc.? The role did not ask for any management experience. Although I did. I quickly adapted to the questions. Have you ever done natural language processing (NLP)? I answered, some but nothing production capable. Well that's 50% of this job. If its 50%, why am I here? My resume did not have anything about NLP, and the job description had one line about it. Amazing. Then some more behavioral questions, and how you ever used <insert app name>?

1. Interview with VP r&amp;d - general discussion about the company, some questions about how I see the role of a team leader, explanation about how they see the role 2. Technical Interview with tech leads - a (very detailed) drill down on a project/architecture of a feature in which they ask questions. after that a short question regarding something related to what they do - how would you implement their IDE plugin in a high level - say that you want to send the user's input to an LLM, and show the response to the user. the response contains several segments, and each segment can be one of three types: a. actual code suggestion. which will be shown right where the user typed their input, b. a &lt;&gt; tag, which the text between the tags should not be shown at all, and c. suggestions for the user, which should be presented in a chat window. each part of the response has opening and closing tags before and after it. i.e: "thinking...." . ... the LLM response is streamed from a REST call, which means that we read the result in bulks. the order of the parts of the response aren't fixed, but whenever we start to get a specific part, all of the data we'll get later on will be for the same part, until the closing tags will be seen. the question is - how would you implement the reading and processing of the response from the LLM 3. interview with two product managers - one who is the relevant product manager the team is working with, and another that wasn't really listening to the interview. they ask general questions about how you work with product managers. asked about a conflict between my team and a product manager.
avatar

Software Team Lead

Interviewed at Qodo

4.8★
Dec 5, 2024

1. Interview with VP r&amp;d - general discussion about the company, some questions about how I see the role of a team leader, explanation about how they see the role 2. Technical Interview with tech leads - a (very detailed) drill down on a project/architecture of a feature in which they ask questions. after that a short question regarding something related to what they do - how would you implement their IDE plugin in a high level - say that you want to send the user's input to an LLM, and show the response to the user. the response contains several segments, and each segment can be one of three types: a. actual code suggestion. which will be shown right where the user typed their input, b. a &lt;&gt; tag, which the text between the tags should not be shown at all, and c. suggestions for the user, which should be presented in a chat window. each part of the response has opening and closing tags before and after it. i.e: "thinking...." . ... the LLM response is streamed from a REST call, which means that we read the result in bulks. the order of the parts of the response aren't fixed, but whenever we start to get a specific part, all of the data we'll get later on will be for the same part, until the closing tags will be seen. the question is - how would you implement the reading and processing of the response from the LLM 3. interview with two product managers - one who is the relevant product manager the team is working with, and another that wasn't really listening to the interview. they ask general questions about how you work with product managers. asked about a conflict between my team and a product manager.

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