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.
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