interviewing.io

interviewing.io

软件开发

San Francisco,California 2,699 位关注者

Practice technical interviewing with engineers from top companies

关于我们

interviewing.io lets software engineers practice technical interviewing anonymously and land great jobs in the process. Become awesome at technical interviews, get fast-tracked at amazing companies, and find your next job, all in one place.

网站
https://interviewing.io
所属行业
软件开发
规模
2-10 人
总部
San Francisco,California
类型
私人持股

产品

地点

  • 主要

    755 Tennessee St #11

    US,California,San Francisco,94107

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interviewing.io员工

动态

  • interviewing.io转发了

    查看Aline Lerner的档案,图片

    Author of Beyond Cracking the Coding Interview (the sequel to CtCI). Founder of interviewing.io: Anonymous mock interviews with engineers from top companies

    Big announcement! Along with Gayle McDowell , Mike Mroczka, and Nil Mamano, I’ve written the official sequel to Cracking the Coding Interview—the bible of interview prep. The sequel is called Beyond Cracking the Coding Interview, and you can pre-order as of today: https://lnkd.in/gbgU-Wgf I always wanted to write a book on technical interviewing, and this is it. Our goal was to go beyond the original and teach people to THINK rather than memorize. Grinding and memorizing isn't the way in this shitty market (though in fairness it never was the way). The chapters I’ve written are about job searches but also about how to navigate a broken process. So many people opt out of a huge swath of companies because they hate technical interviews. It doesn't have to be that way. Job search material includes how to negotiate and not screw it up, how to make your offers come in at the same time, email templates that will get you in the door even if you don't know anyone, how to deal with recruiters, how to not suck at behavioral interviews, and a lot of other practical advice. On the technical side, we introduce at least 13 new topics (including sliding windows, prefix arrays, and rolling hashes). I say “at least" bc we're still writing, and it'll probably be more like 20. We also have 150 new problems. Each problem includes step-by-step walkthroughs, and we’ll give you problem-specific triggers and five problem-solving boosters to help you get unstuck. And of course we’ve partnered with interviewing.io and pulled data from over 100K FAANG mock interviews to support the advice in the book. You also get access to a bunch of never-before-seen interview replays. Finally, pre-orders and purchases get a $50 discount on interviewing.io. The book is $45, so it's not a bad deal. Pre-orders also get a sneak peek at two chapters. The actual book will be out in Jan 2025. If you read it, let me know what you think!

    Beyond Cracking the Coding Interview: Pass Tough Technical Interviews, Get Noticed, and Negotiate Successfully (Cracking the Interview & Career)

    Beyond Cracking the Coding Interview: Pass Tough Technical Interviews, Get Noticed, and Negotiate Successfully (Cracking the Interview & Career)

    amazon.com

  • 查看interviewing.io的公司主页,图片

    2,699 位关注者

    Our dedicated coaching sale is back! Between now & July 10th, get $200-$700 off on dedicated coaching packages. This is the best interview prep $$ you'll ever spend. Work with a mentor who's made hiring decisions at the exact company you're targeting. Custom curriculum based on your exact needs.

  • 查看interviewing.io的公司主页,图片

    2,699 位关注者

    查看Learning Collider的公司主页,图片

    942 位关注者

    In some high-stakes settings, decisions come down to a single gatekeeper with limited information. Recruiting is one area where we see this play out. A recruiter (the gatekeeper) has limited information (often a resume or #LinkedIn profile) and limited time to determine if a candidate will be interviewed. How does this shake out for recruiters and candidates? Results from our study with interviewing.io are striking: ?? Recruiters were only slightly better than a coin flip at predicting candidates' interview performance. ? Recruiters frequently disagreed when they evaluated the same candidates (by an average of 41 percentage points) ?? Recruiters favored experience from a FAANG or FAANG-adjacent tech company ? 15 additional seconds reviewing a resume was associated with a 34% increase in prediction accuracy ?? Off-the-shelf machine-learning models outperformed human recruiters at predicting candidate success On both sides of the recruiting equation, our findings might feel discouraging. Aline Lerner, our research partner on this study and CEO of interviewing.io, shares advices for candidates and recruiters. More broadly, the results reinforce a theme across our lab's projects: building, testing, and scaling fair screening algorithms to improve decision-making outcomes and reduce bias. Full blog post: https://lnkd.in/giJi9GKj Research team: Peter Bergman, Tushar Kundu, Kadeem Noray #research #data #TA #recruiting #engineers

    • Blog post entitled "Are recruiters better than a coin flip at judging resumes? Here's the data." By Aline Lerner, Peter Bergman, Kadeem Noray, and Tushar Kundu. Published April 30, 2024. Description text: In partnership with the team at Learning Collider, we ran a study to see how good recruiters were at judging resumes. We asked technical recruiters to review and make judgments about engineers' resumes, just as they would in their current roles.
  • 查看interviewing.io的公司主页,图片

    2,699 位关注者

    Bloomberg recently published an article saying?ChatGPT has racial bias when evaluating resumes. We re-ran their numbers and saw that they didn't do statistical significance testing. In other words, there's actually no racial bias. However, ChatGPT has another kind of bias -- against candidates from non-traditional backgrounds. https://lnkd.in/g9yCmNCw

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