Sr. Deep Learning Engineer

Based in Toronto, Deeplite is an AI company dedicated to enabling AI for everyday life. Using state-of-the-art model optimization IP and know-how, Deeplite offers a models-as-a-service platform for semiconductor companies which provides pre-optimized models certified to work on our customers’ hardware. This extended model zoo can contain hundreds of model variations for many computers vision and GenAI use cases along with a library of pre-built deployment code enabling end users to quickly find the model they need, fine tune it on their data and deploy it to the real world. Deeplite has secured revenue-generating customers, reputable awards and has been featured by Gartner, Forbes, and ARM AI as a premier Edge AI innovator.

At Deeplite, we are tackling model optimization and inference speed-up for computer vision & GenAI applications, making them faster and more energy-efficient for constrained edge devices. Our platform leverages state-of-the-art technology and unique IP to make deep neural networks applicable for any device. Our world class team works hard on the iterative evolution of the science behind deep neural networks to directly improve daily life.

It's a great time to join Deeplite! The talent on our team is second to none and you will have a very rewarding experience working with our team to bring novel innovation to the AI market. Integrity, fun and a passion for bringing AI to everyday life is what we all have in common!

Our team is growing and we’re looking to hire a Senior Deep Learning Engineer.

Here’s what you’ll be doing:

Deeplite is developing a platform to train, optimize and deploy model for edge devices. Our work involves a blend of research and engineering. Our platform hosts hundreds of optimized models that can be directly deployed to edge devices hence reducing the time to deploy (time to market) on AI application. As a Senior Deep Learning Engineer, you will lead the model development and optimization efforts and work closely with the software engineering team for the platform development.