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Deep Learning on accumulated LiDAR PointCloud - Internship Toulouse

EasyMile recrute !

À propos

EasyMile is a global leader in autonomous technology that powers heavy-duty driverless vehicles for airports, logistics, and industrial sites worldwide.

Since 2014, its internationally-certified software has driven autonomously in 400+ locations in more than 30 countries, over 1,000,000km.

This advanced stack enables precise vehicle control, real-time decision-making, and seamless integration with existing infrastructure. A combination of LiDAR, cameras, and radar sensors allow vehicles to accurately perceive their surroundings and navigate complex environments. EasyMile prioritises delivering safety and efficiency to its clients.

Having built its expertise in passenger transport, the company is now focused on autonomous towing which has resulted in the development of two solutions: the EZTow, a driverless tow tractor, and the EZDolly, an autonomous cargo dolly.

With several mass operations around the world EasyMile was the first to deploy fully driverless at Level 4 of autonomous driving and has the highest number of remotely supervised operations (10+) on the market to date. It is also the first autonomous vehicle solutions provider to be ISO 9001:2015 certified.

EasyMile has over 150 employees in 2 locations (Toulouse, Berlin).

We are looking for highly motivated people to build the road ahead and invent solutions to challenges never met before. Beyond excellent technical skills, we are looking for the right attitude: ambition, creativity and perseverance. Highlighting strong values such as innovation, passion, excellence, trust and team spirit, EasyMile’s team keeps pushing boundaries to invent the future of driverless technology.

Benefits

  • An ambitious and meaningful mission

  • “Tickets restaurant” Swile, “mutuelle familiale”, eco-mobility allowance

  • Brand new offices, close to the city center and public transportation

  • Free coffee/tea and fresh fruits, free breakfast every two weeks

  • Teambuilding and corporate events

  • 2 days of remote work a week

  • Many occasions to meet your colleagues: EZtalks to share your passions, sport, games…

  • A proactive “CSE”

  • Choice between MacBook or PC (depending on your position)

Be part of the autonomous future, today!

Descriptif du poste

Internship details

  • Duration: 6 months

  • Start date: ASAP

  • Location: Toulouse

  • Team: Perception

  • Internship subject: Deep Learning on accumulated LiDAR PointClouds

  • Compensation: 1000€ gross, tickets restaurant, CSE

Internship Context

EasyMile is advancing Level 4 autonomous technology, allowing our vehicles to operate fully driverless in defined environments by independently managing a lot of driving situations. Safe operation requires a high volume of environmental information, which is gathered and processed in real-time by a full range of on-board sensors like LiDAR, RADAR, and cameras. These sensors create a complete 360-degree environmental model, capturing infrastructure, moving adverse, that the driverless system uses to make safe progression decisions.

In the Perception Team, we use deep learning techniques to analyze this surrounding environment. Currently, our scene understanding stack runs online using few sensor scans; however, accumulating LiDAR point clouds along the vehicle's trajectory, especially with newer sensors, allows us to represent a dense 3D scene that can significantly elevate our final performance.

This internship focuses on applying Deep Learning techniques to these large, dense PointClouds of our vehicle environment. You will explore recent work like the Superpoint Transformer [1] and the lightweight EZ-SP [2] to help us redefine our offline perception stack, specifically aiming to improve our auto-annotation process for static obstacles, enhance the automatic creation of HD Maps, and potentially develop a new format for semantic prior maps for our autonomous vehicles.

[1] Robert, D., Raguet, H., & Landrieu, L. (2023). Efficient 3D Semantic Segmentation with Superpoint Transformer.

[2] Geist L., Landrieu L, Robert D, (2025). EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation

Missions / Responsabilities

Under the supervision of his tutor, the intern will be involved in:

  • Format the easymile data for large pointcloud training

  • Study the literature to find relevant architecture and network

  • Train and evaluate such network on possible different use cases: static object detection and/or segmentation, HDMap generation

Profil recherché

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:

  • Student in computer science or machine learning or robotics

  • Skills: Deep Learning, Computer Vision, Python

  • Soft skills: Team spirit, autonomy, and curiosity

  • Language skills : English and French

Process de recrutement

  • 30 minutes call with a recruitment team

  • Meeting with the team, technical tests 

  • One hour interview with the tutor and a recruitment team

Informations complémentaires

  • Type de contrat : Stage (5 à 6 mois)
  • Lieu : Toulouse
  • Niveau d'études : Bac +5 / Master
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