Computer Vision is at the core of our technology and our future. We're looking for engineers with deep technical experience (theoretical and applied) in computer vision to expand the core components of our Experience data platform. You'll join a world class team and will help the team fulfill technical, operational, and business requirements

Cyrix uses a proprietary technology making it possible to track, count and analyze customers in physical store. The data produced is extremely valuable for HQ Marketing team to streamline marketing and sales.

Why we want You: Computer Vision is at the core of our technology and our future. We're looking for engineers with deep technical experience (theoretical and applied) in computer vision to expand the core components of our 3D data platform. You'll join a world class team and will help the team fulfill technical, operational, and business requirements.

You Will Contribute By:

• Building architecture and developing computer vision solutions in the areas of emotional and personalify, object detection, person tracking, and segmentation.

• Driving rapid technical prototyping

• Bridging the gap between prototype and production-ready software.

• Providing technical leadership and guidance to your team members and the broader organization.

This role is very much rooted in developing practical applications that can have immediate value to the business. You'll work alongside our team of designers, frontend, backend, graphics, and devops engineers to bring your creations to life. This means that you must not only be able to stay at the forefront of your discipline, but you must also excel at communication and collaborative.

Your Background Includes:

• Degree in Computer Science or a related technical field

• Experience in one or more of the following areas: Object detection and localization, Pose estimation, Multi-view geometry, Linear Algebra, Optimization

• Fluency in C/C++ or similar languages

• Experience working with OpenCV

• Exceptional communication skills, both written and verbal

• Ability to handle multiple competing priorities in a fast-moving environment

Nice to haves:

• Phd in Computer Science or a related technical field

• Experience working with a deep learning framework such as TensorFlow