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    Brilent

    Data Science

    QA Engineer Intern

    San Mateo, United StatesOn-SiteInternshipPosted 1mo ago
    All Brilent jobs

    Job description

    As a QA Engineer Intern, you will work alongside our small team of engineers to develop new features and provide a world-class user experience for our customers.

    Responsibilities include:

    • Develop and execute against test plans with a focus on automation
    • Help us develop testing tools and build test automation frameworks
    • Pursuing BS or MS in Computer Science or related field
    • Passionate about QA. Previous QA experience is a big plus
    • Good Java and J2EE programming skills
    • Demonstrated ability to work as a self-starter in a collaborative, self-directed manner in a fast-paced environment

    We offer competitive salaries, meals, snacks, etc.

    Job details are sourced from the employer's original posting.

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    About the company

    Brilent

    Brilent is a data science tech company developing a SaaS solution to help recruiters quickly and effectively identify the right talent to hire. The Brilent team brings together deep experience in machine learning, and data science from leading edge companies to solve the growing problem of leveraging big data to effectively identify and connect with the right talent. With the Brilent solution, pre-screening candidates take minutes as opposed to hours or days thus shortening the time-to-hire, and increasing the number of candidate placements. WHY US? Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, Microsoft and HP, and graduates of top-tier universities (University of Waterloo, CMU, University of Michigan, USC, etc.).  We are looking for exceptional people to scale our business and build innovative products. Come join the revolution!

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    Industry
    Data Science
    Open roles
    7

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