Here’s the day to day:

• Develop computer vision and deep learning algorithms for car damage detection.
• Propose and test hypotheses for each new experiment, document the findings.
• Demonstrate robust exploratory/experimental skills.
• Implement and advance models from the research community, including literature surveys and implementing novel techniques from research papers.
• Optimize existing and new algorithms for compute and power constrained environments such as smartphones and for distributed computing systems.
• Contribute to the deployment of these algorithms in containerized solutions.
• Work as part of a team.
• Participate in the engineering life-cycle at Fyusion, including designing systems, writing production code, conducting code reviews and working alongside our Product, Engineering, and QA teams.

Here’s what we’re looking for:

• Master in Computer Science or 2+ years of relevant experience.
• Experience developing efficient computer vision algorithms/models.
• Python expertise (PyTorch, OpenCV).
• Rapid prototyping experience with Jupyter Lab / Notebooks.
• Proven code profiling and optimization skills.
• Strong critical thinking and hypothesis testing abilities.
• Experience with Docker or other types of containers.
• Solid understanding of Version Control principles, preferably using Git, Github, and Pull Requests.
• This position is suited for a wide range of experience levels. If this peaks your interest and you see yourself described here, please do not hesitate to apply!

Bonus points for:

• C++ experience.
• Experience with multi-camera and/or distributed computing systems.
• Peer reviewed publications in a top tier Computer Vision, Machine Learning, Computer Graphics, or Robotics conference.