We are looking for a research engineer, who is able to analyse and work on existing computer vision and regression algorithms by quantifying their accuracy and suggest improvements.
This research engineer will have to debug and improve python and c++ code, mainly regarding computer vision related algorithms including detection and tracking, such as kalman filtering or similar. It will be required to work in a scrum (agile) environment, where the scrum master will determine the tasks related to programming each week and progress will be measured on the completion of this objectives.
This engineer will work as part of the engineering team of DCM and will be responsible for conducting quantitative analysis of the output of the algorithms with enough supervision from a senior engineer.
We are seeking an engineer with experience in computer science, mathematics, statistics and machine learning. The applicant must have knowledge in computer vision, regression methods and quantitative analysis. A good candidate must have very good programming skills, both in Python and C++ being able to actively debug and write efficient - production-ready code.
Candidates can reside anywhere in the world.
DCM (Dynamic Crowd Measurement) advanced technology helps to deliver the most effective people management solutions anywhere in the world. Working with existing cameras, DCM analyses people metrics (density, flow and mood) to inform real-time decisions. — Dynamic Crowd Measurement's full profile