Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.
Micro1, a startup applying artificial intelligence to recruiting that we covered last year, announced the launch of an AI-powered technical interviewer aimed at helping companies efficiently screen software engineering candidates at scale. The tool generates tailored questions based on candidates’ self-reported skills, conducts voice-based technical interviews and coding assessments, and produces detailed evaluation reports.
In an exclusive interview with VentureBeat, micro1 founder and CEO Ali Ansari explained that the product targets a key pain point in tech hiring. “Usually when you do a job posting, especially with global [reach], you get many, many applications,” Ansari said. “Employers usually just pick a random sample size from those applications and interview that. The decision on picking which ones to interview is very arbitrary.”
Customized questions and real-time assessment reports
Micro1’s AI interviewer aims to solve this by enabling companies to consistently evaluate a much larger portion of applicants. Candidates input their top skills and seniority level for each, such as “senior” for React. The system then dynamically generates questions testing relevant theoretical and practical knowledge.
Ansari emphasized the focus on customization and real-time content generation. “The questions that we ask are based off [the skills input], so if someone puts in React and Node.js as their top skills, we’re gonna ask them theoretical programming questions on React and Node.js,” he explained. “There is no static database of questions. We generate questions in real-time using a language model, so there’s new questions that are randomized each time.”
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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.
Micro1, a startup applying artificial intelligence to recruiting that we covered last year, announced the launch of an AI-powered technical interviewer aimed at helping companies efficiently screen software engineering candidates at scale. The tool generates tailored questions based on candidates’ self-reported skills, conducts voice-based technical interviews and coding assessments, and produces detailed evaluation reports.
In an exclusive interview with VentureBeat, micro1 founder and CEO Ali Ansari explained that the product targets a key pain point in tech hiring. “Usually when you do a job posting, especially with global [reach], you get many, many applications,” Ansari said. “Employers usually just pick a random sample size from those applications and interview that. The decision on picking which ones to interview is very arbitrary.”
Customized questions and real-time assessment reports
Micro1’s AI interviewer aims to solve this by enabling companies to consistently evaluate a much larger portion of applicants. Candidates input their top skills and seniority level for each, such as “senior” for React. The system then dynamically generates questions testing relevant theoretical and practical knowledge.
Ansari emphasized the focus on customization and real-time content generation. “The questions that we ask are based off [the skills input], so if someone puts in React and Node.js as their top skills, we’re gonna ask them theoretical programming questions on React and Node.js,” he explained. “There is no static database of questions. We generate questions in real-time using a language model, so there’s new questions that are randomized each time.”
VB Event
The AI Impact Tour: The AI Audit
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