Internship: Robotics Engineer (3)

EasyMile is hiring!


Pioneer in driverless mobility, EasyMile revolutionizes passenger and goods transportation.
For the past years, EasyMile has developed and deployed autonomous mobility solutions worldwide based on vehicles manufactured by recognized industrial partners. EasyMile’s clients include the world’s largest transport operators, city authorities, airports, corporations, business parks, and universities.
EasyMile supplies smart mobility solutions and autonomous technologies powering driverless vehicles with existing products such as: the EZ10, a 100% electric driverless shuttle deployed in 20 countries worldwide; the TractEasy, the first autonomous electric baggage tractor jointly developed with TLD; and many other projects to be unveiled soon.

EasyMile’s team is composed by more than 230 high skilled and passionate employees specializing in robotics, computer vision and vehicle dynamics.
The company has its headquarter in Toulouse (France) and regional offices in Singapore (Asia), Denver (USA), Berlin (Germany) and Adelaide (Australia).

Job Description

We are looking for highly motivated people to build the road ahead and invent solutions to challenges never met before. Creativity and perseverance is your attitude? We are looking for you.

  • Duration: 6 months (starting from March 2021)
  • Location: Toulouse, France
  • Department: R&D - Navigation
  • Internship subject: Study Machine Learning methods applied to Motion Planning
  • Internship tutor: Oleg Gomozov, R&D Engineer

Motion planning is one of the essential parts of the autonomous driving software. To insure the security and comfort, it has to run in real-time and deal with dynamic environments. Moreover, the dynamics of the wheeled vehicles are complex and highly non-linear. The classical approaches might no be able to fulfill such requirements. To deal with these limitations, machine learning (ML) can be used either as a standalone or hybrid method.

This internship will focus on the exploration of the ML application for the motion planning of autonomous vehicles. As a part of the navigation team, the intern will explore different existing solutions, implement them and participate in the field test to gather the required data.

The internship will be split into the following steps:

  • Establish a small state of the art on ML application for motion planning
  • Prototype the most promising methods
  • Test these algorithms in simulation environment in fixed scenarios

The development will be done in Python. The data set will be either auto-generated or gathered during field tests.

Preferred Experience

There is no typical profile at EasyMile, we all come from different backgrounds and that is what makes us strong! Don't hesitate to apply if you are motivated and interested by innovative transportation and technologies.

We are looking for:

  • Final year internship
  • Python
  • C++ is a plus
  • Reinforcement learning technics
  • Knowledge of ML libraries such as PyTorch/TensorFlow is a plus
  • System dynamics modeling and simulation
  • Motion planning algorithms

Recruitment Process

  • 30 minutes call with a recruitment officer
  • 30 minutes call with the tutor
  • One hour interview with the tutor and a recruitment officer

All our offers are open to people with disabilities

Additional Information

  • Contract Type: Internship (Between 6 and 6 months)
  • Location: Toulouse, France (31000)
  • Education Level: Master's Degree