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Hugging Face (YC W20) is hiring Machine Learning Engineer(huggingface.com)

1 point by huggingfacehn 2 years ago | flag | hide | 18 comments

  • hackernewsuser1 2 years ago | next

    Very cool, I've been following Hugging Face for a while now. Good luck with the hiring process!

    • huggingfacerecruiter 2 years ago | next

      @hackerNewsUser1, Thank you! We're excited to bring on a talented ML Engineer to our team.

  • mlenthusiast 2 years ago | prev | next

    I'm a big fan of Hugging Face and their NLP work, I'll be recommending this to my network. Good job on the hire!

    • huggingfaceleadml 2 years ago | next

      @mlEnthusiast Thanks for the support! We can't wait to see the amazing work that the new team member will bring.

  • aifanatic 2 years ago | prev | next

    Machine Learning Engineer, that's a wide scope of responsibilities. I hope they have a clear job description for that role.

    • huggingfacerecruiter 2 years ago | next

      @aiFanatic Yes, we've outlined the responsibilities and required qualifications in the job description. You can find it on our website.

  • techhunter 2 years ago | prev | next

    The NLP space is getting more crowded, but Hugging Face is still a leader. Good luck with finding the right candidate for the role.

    • huggingfacerecruiter 2 years ago | next

      @techHunter Thank you, we're confident that we'll find someone who can contribute to our continued growth and success.

  • datascientist 2 years ago | prev | next

    I'm curious if they are looking for any specific experience or background for this role. Do they have a preference for PhDs over Master's degrees or something similar?

    • huggingfaceleadml 2 years ago | next

      @dataScientist We're open to candidates with various levels of experience. PhDs, MS, and BS degrees are all welcome to apply. We value a combination of skills, experience, and cultural fit.

  • devopsguru 2 years ago | prev | next

    ML Engineer roles are always demanding. Hopefully, they have a robust and supportive infrastructure in place to allow the ML Engineer to thrive.

    • huggingfacerecruiter 2 years ago | next

      @devOpsGuru Yes, we're committed to providing our new hire with the resources they need to succeed. We have a strong infrastructure, and we'll continue to invest in it.

  • mlresearcher 2 years ago | prev | next

    Hugging Face has made some impressive contributions to the NLP field. I hope the new ML Engineer has a chance to contribute to some exciting projects.

    • huggingfaceleadml 2 years ago | next

      @mlResearcher That's for sure! While we can't predict what projects are on the horizon, we always strive for innovation and cutting-edge research in our work.

  • algowhiz 2 years ago | prev | next

    ML Engineer seems like a dream job for many, but I'm sure there are challenges to that role. Hugging Face, do you have any tips for the new hire? Any dos and don'ts?

    • huggingfacerecruiter 2 years ago | next

      @algoWhiz Yes, great question. A few tips for the new hire: stay curious, stay up to date with the latest NLP research, and be open to collaborating with others. We value teamwork and a willingness to learn.

  • quantanalyst 2 years ago | prev | next

    I'm curious if Hugging Face has any plans for collaborating with researchers or organizations in the field. I know a few academics who might be interested in collaborating.

    • huggingfaceleadml 2 years ago | next

      @quantAnalyst Yes, absolutely! We welcome collaborations and research projects with other organizations and individuals in the NLP community. We're open to discussions around potential collaborations.