Damage Analysis Computer Vision Engineer

Key Skills

AI Robotic systems, Algorithms, C++, Hypothesis testing, Machine learning techniques, OpenCV, Optimization, Python Programming, PyTorch

Job Description

Fyusion is a leading machine learning and computer vision company focused on automotive inspections and related applications. Our patented 3D format enables anyone to capture and display interactive 3D images using their smartphone, and enables significant added functionality with deep visual understanding and machine learning-driven analysis.

Founded in 2014, Fyusion is now part of the Cox Automotive family. Our team includes some of the world's top researchers and developers in light field imaging and AI, continuing to push boundaries and innovate at the highest level from our San Francisco research center.

The Damage Analysis Team is the part of the Fyusion Research Department that designs and develops the technology at the core of Fyusion’s products for automated inspection. This team works at the intersection of deep learning and computer vision, providing the best approaches for an objective assessment of a car's condition, both for fixed and mobile imaging solutions.

This role will work with our best-in-class Research, Engineering and Product teams for analyzing Damage Analysis accuracy and edge cases, improving and enriching our current solutions, and bringing new ideas to reality. This is a high-impact role that will give the opportunity to shape products used millions of times per month and that are revolutionizing the car buying experience.

Here's the day to day:

• Develop efficient computer vision, geometry and machine learning algorithms for multi-view scene understanding applied to car damage analysis.
• Analyze failure cases of our damage analysis pipelines, that could be reported by our automatic evaluation or by our Support team.
• Propose and work on solutions when possible, or discuss one with relevant team members.
• Help our Product team extract meaningful accuracy metrics from Damage Analysis results.
• 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 Design, Engineering, and QA teams.

Here's what we are looking for:

• Master in Computer Science or 2+ years of relevant experience.
• Experience writing efficient algorithms for 2D and 3D computer vision.
• Experience with machine learning solutions for 2D and 3D computer vision.
• Experience analyzing failure cases of complex computer vision pipelines.
• C++ proficiency.
• Familiarity with relevant open source libraries such as: OpenCV, Eigen, Boost, LibIGL.
• Experience with Docker or other types of containers.
• Solid understanding of Version Control principles, preferably using Git, Github, and Pull Requests.
• Robust analysis and problem solving skills and attention to detail.
• Strong critical thinking and hypothesis testing abilities.
• 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:

• Experience with Python.
• Experience with multi-camera and/or distributed computing systems.
• Experience profiling processing pipelines and finding and fixing bottlenecks.
• Experience collaborating with Product and Support teams.
• Experience with agile software development.
• Peer reviewed publications in a top tier Computer Vision, Machine Learning, Computer Graphics, or Robotics conference.

Here's what we can offer you:

A competitive compensation, health, vision and dental benefits with premiums paid by Fyusion, unlimited PTO plan, company holidays (including your birthday), and the chance to be part of a pioneering technology team!

We offer some amazing perks for those working from our SF HQ: commuter benefits, company catered lunches, a fully stocked snack pantry, tons of company off-sites, and a pup friendly workplace.