ML problem setter

Bengaluru, Karnataka, India | Content | Full-time | COVID-19 remote

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HackerEarth is an AI-powered developer assessment software that helps companies to accurately measure a developer’s skills through online coding tests. It takes a skill-based approach to assessment, allowing companies to automatically generate standardized tests based on various skills and then accurately measure the developer’s performance on those skills.

We proudly serve 500+ customers across the globe with many of the fortune 1000 names in the list like Walmart, Amazon, Barclays, GE, Siemens etc. We have assessed more than 1M candidates, support 37 different programming languages, provide 8 different types of assessment techniques and enable assessments across 100+ different skills.

HackerEarth also has a community version of the product that is used by developers all across the globe, to assess their coding skills, become better at it and measure their true potential. They do it by solving coding challenges across different topics/skills and by participating in online competitions/hackathons. We have a thriving community of 5M+ developers.

Roles and responsibilities

  • Create/Review Machine Learning and Data Science + Data Engineering questions for the following:
    • HackerEarth’s library
    • HackerEarth’s monthly challenges
    • ML hiring challenges
    • ML/AI Hackathons
  • Create/Update/Review of HackerEarth’s ML practice section articles

Requirements

  • Programming languages Python3 (must have) R (good to have)
  • In-depth knowledge of statistics and machine learning algorithms
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Hands-on experience in solving business problems (good to have)
  • Exposure to building deep learning models
  • Hands-on experience in using query languages such as SQL
  • Experience: 0-2