Senior Automotive Computer Vision Researcher
Montreal, QCSTART YOUR APPLICATION
Algolux is a globally recognized computer vision company addressing the critical issue of safety for advanced driver assistance systems and autonomous vehicles. Our machine-learning tools and embedded AI software products enable existing and new camera designs to achieve industry-leading performance across all driving conditions. Founded on groundbreaking research at the intersection of deep learning, computer vision, and computational imaging, Algolux has been repeatedly recognized at industry and academic conferences and has been named to the 2021 CB Insights AI 100 List of the world’s most innovative artificial intelligence startups.
As a researcher at Algolux, you have the expertise and the ability to make novel research contributions in computer vision, imaging and machine learning.
You will be a key part of a team that is building breakthrough end-to-end perception stacks for autonomous vehicles. We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild. The technology developed at Algolux is deployed at scale in vehicles and camera solutions.
We believe in interdisciplinary research at Algolux and candidates will be working with a diverse team of computer vision, imaging, optimization, physics, and optics experts. As part of this team, we expect novel ideas to be published in major publications from time to time.
- Develop and evaluate deep learning models in the wild.
- Don’t be satisfied with solving toy problems. Solve the real problem in the wild.
- Build compelling demos and illustrative results.
- Work closely with an established engineering team
- Ph.D. or Masters in computer science or engineering, in areas related to computer vision, computational imaging, and machine learning.
- Minimum of 3 years experience in Automotive Computer Vision systems
- Track record of relevant publications in top-tier conferences and journals (ICCV, CVPR, ICML, SIGGRAPH, NeurIPS, etc.) and/or significant industry experience working as a member of a camera/vision research team.
- Experience with Deep Learning frameworks (Tensorflow, PyTorch, etc.), model architecture design, training methodologies, and data management.
- Experience with digital camera systems (sensors and ISPs).
- Hands-on experience with geometric computer vision.
- C++/Python programming.
- Knowledge of cloud-based and GPU heterogeneous compute platforms.
- Agile development with Git, Bitbucket, pull requests, etc.