Deep Learning R&D Engineer

Toronto, ON
Gatik is a team of AV researchers and engineers with domain expertise in AI, robotics and computer vision. Founded by graduates and former researchers from Carnegie Mellon Robotics Institute, we are building new concepts & groundbreaking solutions for autonomous vehicles.

With locations in Palo Alto and Toronto, we are dedicated to building commercial applications of AVs and aim to power the next generation of self-driving commercial fleet for urban logistics. We’re looking for top talent that shares our passion and wants to be part of a fast moving execution-oriented team. If you’re a software engineer or a researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.


    • Develop tools to generate and manage big training datasets for different Deep Learning models
    • Develop scalable training and evaluation tools and infrastructure
    • Analyze point cloud and radar raw sensor data and apply machine learning technologies
    • Design, build and maintain large-scale production machine/deep learning pipelines


    • Master’s or Ph.D. degree in Machine Learning, CS or related field
    • Skilled software developer with experience in C/C++, Python and/or CUDA
    • Worked with one or more neural network frameworks, such as Tensorflow, Caffe & Torch
    • Strong quantitative background
    • Experience with sensor data processing, environment modeling, large-scale point-cloud processing, or machine learning
    • Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, GAN, etc.)
    • Self-starter; the ability to own projects with little oversight

Bonus Points

    • Track record of building and shipping machine learning features in products
    • Experience in software design for safety-critical systems
    • Experience with sensor modalities used in robotics and automated driving applications (Camera/Vision, Radar, LiDAR, INS/IMU)
    • Demonstrated academic or industry experience in developing novel deep learning models
    • Deep understanding of GPU architecture
    • Experience with distributed computing


    • Competitive salaries, generous equity, and benefits including medical, dental & vision
    • Regularly scheduled on and off-site team building activities
    • Free catered lunches, snacks, and drinks
    • Start-up environment where you’ll help shape the culture and have a huge impact
    • Work on innovative products and challenging problems with some amazingly talented (and fun) people
    • Be at ground zero of the AV revolution!