Show HN: Anonymous interview evals of strong software/ML engineering candidates


New top story on Hacker News: Show HN: Anonymous interview evals of strong software/ML engineering candidates We are a recruiting startup with a small twist. We represent engineering candidates who receive a recommendation through our personalized vetting process, which includes a technical interview with an unbiased third-party senior engineer. We match the candidates with interviewers based on their background and the roles they are looking for. We pay for the senior engineer's time to interview so that the feedback is completely unbiased. These interviews are unique in that they are not set up to test if a candidate is a fit for a pre-set role, but instead they are personalized to extract each candidate's strengths and the roles in which they'd excel. The senior engineers who interview for us have collectively interviewed 1000s of candidates and have built and led engineering teams at top tier startups and bigger companies (e.g., Google, Facebook, Uber, etc.). Here are the two evals Candidate1: http://bit.ly/2vmRzXy Candidate2: http://bit.ly/2wfafoD We'd love feedback on the two candidates and our interviewers' evaluations of them. - Does the feedback give you a good sense of the candidate's strengths and the environments they'll do well in? - Would this save time in your evaluation process because the candidate has already been recommended after a technical interview? - Do you want to interview this candidate for your own team? Why or why not? If interested in these candidates or other vetted candidates with full evaluations and interviewer identity, please feel free to reach out to ngptprad@gmail.com http://bit.ly/2vmJ5zQ

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