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

1 point by deeplearnlib 10 months ago flag hide 17 comments

deeplearner 10 months ago 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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.

deeplearner 10 months ago 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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 10 months 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 10 months ago 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.