R&D Engineering Internship: Study of Machine Learning Methods for Embedded Systems

Company Description

Accelerate your career within a fast-growing global engineering group. At SEGULA Technologies, you will work on exciting projects and help shape the future within a company for which innovation is inseparable from engineering.

3D printing, augmented reality, autonomous vehicles, factories of the future... These set the daily rhythm for our 13,000 ingenious employees, why not yours?

Whether it's next door or on the other side of the globe, you'll find an opportunity at SEGULA Technologies that will give new meaning to your career!

Job Description

As part of our Research and Development projects, work is underway on the design and development of autonomous or semi-autonomous land robotic systems. In this context, a number of sensors dedicated to the robot's autonomy have been set up. We notably use RGB and RGB-D cameras.

Within this framework, we wish to focus on machine learning methods that can be embedded on the robot. More specifically, the goal is to study voice recognition methods with the aim of voice-commanding the robot for its movements, and real-time image segmentation methods for real-time semantic mapping.

The goal will be to develop these methods so that they can be embedded in the robots without network dependency.

Qualifications

You have a Bachelor's degree or equivalent, with a specialization in computer science. A specialization in Machine Learning/ Artificial Intelligence/ Embedded Systems would be a plus.

You are proficient in C++ and Python programming and are familiar with the field of artificial intelligence.

Knowledge in embedded systems would be an advantage.

Additional Information

Start in February / April, duration 5 or 6 months