Deeplite, Inc. Hiring for Deep Learning Software Engineer at Montréal, QC Full Time

Based in Montreal and Toronto, Deeplite is an AI software company dedicated to enabling AI for everyday life. Deeplite uses AI to automatically make other AI models faster, smaller and more energy efficient creating highly compact, high-performance deep neural networks for deployment on edge devices such as cameras, sensors, drones, phones and vehicles. Deeplite was named to the 2020 CB Insights AI100 list of top 100 privately held AI companies and has been featured by Gartner, Forbes, and ARM AI as a premier Edge AI innovator.

At Deeplite, we are tackling inference optimization of deep neural networks, making them faster and energy-efficient from cloud to edge computing. Our solution leverages state-of-the-art technology from elite universities to make deep neural networks applicable for any device, and our team works hard on the iterative evolution of the science behind deep neural networks to directly improve daily life.

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

Here’s what you’ll be doing:
Deeplite’s revolutionary platform “Neutrino” is being used and/or evaluated by many customers, including top consumer and automotive OEMs, semiconductor companies and computer vision pioneers, globally. As a member of the customer success team, you will be the bridge between our product team and our customers to enable them to optimize and run their Artificial Intelligence (AI) solutions on eco-friendly, small footprint devices for everyday use.

In this role, you will act as an external champion of our platform and work closely with our customers to solve issues and/or educate them to speed up their projects. You will also get an opportunity to work on development of faster & smaller models for small footprint devices.

Here’s what we need you to bring to the table:
Undergraduate in Computer Science or related field (master’s degree is a plus).

More than 2 years’ experience with the following skills

Hands on experience with Deep Learning frameworks like PyTorch, TensorFlow.

Proficiency in programming languages like Python and C/C++

Fundamentals of deep learning (CNN)

Experience with runtime environments (OpenVINO, ONNX runtime, TVM etc.) would be a huge plus.

Experience with deep learning model compression, speedup related project is a huge plus

Experience building systems based on machine learning and/or deep learning (Experience with embedded boards is a plus)

Customer facing skills.

2 years of industry experience working with clients for technical collaboration.

Willingness to work on multiple projects concurrently.

What we offer:
Strive in a highly innovative and collaborative environment.

Opportunity to advance state-of-the-art software in the fields of DNN model compression, AutoML, Neural Architecture Search (NAS) and more!

Have a major impact – what you build will translate directly into the customer’s needs.

Open and inclusive culture.

About Deeplite:
Deeplite, named to the 2020 CB Insights AI100 List of Most Innovative Artificial Intelligence Startups, is devoted to making fundamental advancements in accessible and efficient deep learning. Our solution helps deep learning engineers and experts automatically create faster, smaller and more energy-efficient deep neural networks. Industry leaders in computer vision, augmented reality and autonomous driving use our technology to unlock new possibilities for deep learning in the real world. At Deeplite, our vision is to create AI for everyday life.

Deeplite is an equal opportunity employer. We foster an inclusive workplace without regard to race, color, religion, sex, sexual orientation, national origin or nationality, age, disability, gender identity or expression, marital status, veteran status. Should you require special accommodation at any point during our selection process, please contact our hiring team at [email protected].

What can I expect when I submit my application?

Although we’d love to be able to speak with everyone that applies, only those selected to move forward in our selection process will be contacted by our hiring team within 5 business days.