Deep Learning Engineer

HRB; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Deep Learning Engineer and push the boundaries of AI technology. In this dynamic role, you will be part of a dedicated Neural Networks team focused on optimizing neural networks for cutting-edge hardware. Your expertise in deep learning frameworks like TensorFlow and PyTorch will be essential in designing software pipelines that automate model preparation for on-chip inference. This is an exciting opportunity to work at the forefront of AI, where innovation meets practical application. If you are passionate about solving complex problems and eager to contribute to groundbreaking projects, this role is perfect for you.

Qualifications

• 5+ years of experience in deep learning and software engineering.
• Strong math background and Python skills essential for the role.

Responsibilities

• Design and build model optimization software pipeline for on-chip inference.
• Optimize neural networks to run efficiently on hardware architectures.

Skills

Deep Learning

Software Engineering

Python

C/C++

TensorFlow

PyTorch

Neural Networks

Mathematics

Education

Bachelor in Computer Science

Master in Computer Science

PhD in Computer Science

Tools

CUDA

OpenGL

Job description

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!

Requirements

• • 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