Applied ML Developer (Compute for Deep Learning)
Toronto, ON, CA
4d ago

gdR has partnered with one of global tech's rising stars to build their Toronto office. Our client is changing the game of compute to enable AI and deep learning.

Having raised in excess of $100M venture capital, with industry leading founders, and significant customers (e.g., research labs) that are using their system (it's not just a chip), they are well positioned to grow into an industry leader that's conquered challenges that people have described as impossible.

Position Highlights

  • The Applied ML Engineer will join a growing Engineering team in the Toronto office.
  • Working with the research team to incorporate novel algorithms into CNN and RNN models.
  • Working with language modelling, sentiment analysis and statistical machine translation and optimizing them for the stack.
  • Designing automatic speech recognition systems using algorithms such as WaveNet and WaveRNN, and augmenting them with specific optimizations.
  • Implementing solutions for verticals such as computer vision for image classification, object localization, autonomous driving, medical image analysis.
  • Working with customers to optimize existing models for the stack, and develop new approaches for solving real world AI problems.
  • Required Experience & Skills

  • Experience with supervised deep learning models such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs).
  • Strong experience with TensorFlow, PyTorch or Caffe, with a good understanding of how to define custom layers and backpropagate through them.
  • Masters or PhD in Computer Science or related field.
  • Experience in verticals such as computer vision, language modelling or speech recognition
  • Apply today for the Machine Learning Engineer role or contact Brandon Shim-Ping, Director Talent, at brandon AT grossmandorland DOT com to learn more.

    About gdR

    Founded in 2007,’s mission is to grow the leadership capacity and capabilities of people and companies in the Canadian tech ecosystem through executive search, team recruiting and leadership development.

    We’re actively involved in the community by creating opportunities for people to connect and learn from one another e.g.

    Canadian Tech at Scale (in partnership with Shopify & Uber ATG), which brings 200+ engineering leaders together.

    gdR values inclusion in Canada’s tech ecosystem and partners with employers that provide equal opportunities for individuals from diverse groups.

    If you’re interested in moving to Canada, although we can’t sponsor you, we have put together resources to help you with your journey.

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