Leveraging ChatGPT As An Interviewer or Candidate

Along with being one of the hottest topics in the recruiting world at the moment, ChatGPT can be a valuable tool for both interviewers and candidates in the interview process.

For interviewers, ChatGPT can assist in crafting thoughtful and relevant questions that can elicit helpful information about a candidate's qualifications and fit for a particular job. Using ChatGPT's advanced language generation capabilities, interviewers can input various parameters, such as the specific job title, industry, and desired skill set, to create custom questions tailored to the specific job opening. It also helps ensure they ask relevant and informative questions that align with the job description.

ChatGPT can also help by providing resources that candidates can use to prepare for the interview. These resources could include sample answers or tips on how to answer certain questions. Using ChatGPT as a tool to prepare for an interview is incredibly beneficial. It is a valuable resource for both the interviewee and interviewer, creating a seamless interview experience and reducing anxiety for both interviewers and candidates.

How Interviewers Can Use ChatGPT for Interview Questions

As an interviewer, using ChatGPT allows for a more efficient and effective screening of candidates based on their responses to the questions generated by the AI system. With the ability to customize the questions, interviewers can tailor their inquiries to the specific requirements of the role and assess the candidate's compatibility with the company and team culture.

To make the most of ChatGPT’s features, interviewers need to focus on creating efficient interview questions. One way to achieve this is by crafting focused, specific, and relevant questions. Instead of broad, open-ended questions, interviewers should try to create questions requiring candidates to provide in-depth and insightful responses.

Another tip is to use ChatGPT to create a list of questions that target specific skills or attributes needed for the job. For instance, for a position in customer service, ChatGPT can help generate questions that evaluate candidates’ communication and interpersonal skills.

How Candidates Can Use ChatGPT for Interview Preparation

To use ChatGPT most effectively for interview preparation, candidates should begin by browsing the recommended questions and practicing responses. The platform uses AI and deep learning algorithms to generate lists of common interview questions tailored to the user's selected job sector. This means candidates can focus their preparation to be industry-specific, enhancing their overall chances of success.

Another way to use ChatGPT to prepare for interviews is to leverage the benefit of chatbots in simulating a real-world conversation. Candidates can use ChatGPT to practice answering potential interview questions. Chatbots are computer programs designed to simulate human conversation. They typically use artificial intelligence to interpret questions and provide relevant replies, making them a fantastic tool for interview preparation.

By practicing with the ChatGPT chatbot, candidates can get a feel of how they will reply to specific types of questions, and this dramatically boosts their confidence level. They can also receive feedback on possible areas for improvement, taking note of the tone used and how to sharpen their answers to sound more convincing.

Examples of ChatGPT-Generated Interview Questions

Below are interview questions from the perspective of each interviewer for a Meta Software Engineer job spec.

Interview Questions from a Director of Engineering Perspective:

1. What experience do you have leading projects or small teams in machine learning?
2. What is your experience with adapting standard machine learning methods to exploit modern parallel environments?
3. How do you develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models?
4. Can you tell me about a project where you had to suggest, collect, and synthesize requirements and create effective feature roadmaps?
5. Can you walk me through your process for developing machine learning models from inception to business impact?
6. How do you ensure technical excellence in your team?
7. Can you describe your experience setting technical direction for a team, driving consensus, and building successful cross-functional partnerships?
8. What is your experience with developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts?
9. How do you keep up-to-date with new technologies and advancements in the field of machine learning?
10. Can you share an example of a project where you overcame a significant challenge while working on a machine learning project?

Interview Questions from an Engineering Manager Perspective:

1. Can you tell me about a project where you have successfully led a team in unblocking and advocating for machine learning excellence?
2. How do you ensure the team follows best practices for developing machine learning models at scale?
3. What is your experience creating effective feature roadmaps and ensuring the team meets requirements?
4. Can you walk me through a specific project where you adapted standard machine learning methods to exploit modern parallel environments?
5. How do you ensure that the team develops highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models?
6. What is your approach to building cross-functional partnerships with other teams in the company?
7. Can you tell me about a time when you had to set technical direction for a team and drive consensus around it?
8. What experience do you have with developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts?
9. Can you share an example of a project where you have kept up-to-date with new technologies and advancements in the field of machine learning?
10. What strategies do you use to build and maintain a high-performance team culture?

Interview Questions from a Lead Engineer Perspective:

1. What is your experience with machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields?
2. How do you adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)?
3. Can you tell me about a specific project where you developed highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models?
4. How do you approach suggesting, collecting, and synthesizing requirements and creating effective feature roadmaps?
5. What is your process for coding deliverables in tandem with the engineering team?
6. How do you ensure the team follows best practices for developing machine learning models at scale?
7. What is your approach to debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts?
8. Can you tell me about a time when you had to lead a team to overcome a significant challenge while working on a machine learning project?
9. What strategies do you use to keep up-to-date with new technologies and advancements in machine learning?
10. How do you approach mentoring and developing junior team members?

ChatGPT is making its mark on the hiring industry. Both interviewers and candidates can take advantage of this AI-generated tool to create unique, thought-provoking questions or prep for interviews in a fraction of the time.

If you are looking to give your recruiting process an upgrade or if you want to get ahead and stay ahead of your competition, then reach out to IQTalent today!