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Deep Learning Engineer

Toronto, Ontario · Computer/Software
We are looking for an experienced Senior Deep Learning Engineer to join our Neural Networks team. The main objective of our team is to make it as seamless as possible for researchers and developers to successfully deploy neural networks to run on our hardware. This involves optimizing a variety of common neural networks to run efficiently on our architectures. The Senior Deep Learning Engineer will also be designing and building a model optimization software pipeline so that our customers’ models can be automatically prepared for on-chip inference. If you want to be working at the bleeding edge of AI, this role is for you!


    • Computer Science, Engineering or related degree
    • 5+ years experience, with a healthy amount of both deep learning and software engineering (2+ years each)
    • Experience with one or more deep learning frameworks (preferably Tensorflow and/or PyTorch)
    • Experience working with one or more of the following: CNNs, LSTMs/RNNs, Transformers
    • Experience reproducing academic work from the field of AI
    • Strong math background
    • Strong Python skills
    • Experience with C/C++

Preferred Skills & Experience

    • Masters or PhD in Computer Science, Engineering, or related field
    • Embedded or low-level programming experience
    • CUDA/OpenGL experience
    • Experience deploying neural networks to production
    • Experience with model compression techniques such as quantization, quantization-aware training, knowledge distillation, pruning, etc.

General Skills

    • Enthusiastic about all things AI
    • Passionate about solving hard problems and pushing the envelope of what is possible
    • Comfortable with both big picture thinking and in-the-weeds deep dives
    • Driven, organized and self-directed
    • Ability to build projects from the ground up
    • Comfortable working within a rapidly evolving project
    • Strong focus on testing and software quality
    • Team focus and desire to help build the team

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