Who we areOTIV is a Ghent-based company leading the autonomous revolution in rail. We are on a mission to increase safety and efficiency of railway operations by teaching rail vehicles to drive autonomously. By making trains more efficient and safer, we actively contribute to a modal shift and a greener future. We bring this vision to life by a unique focus on the most challenging environments such as cities, shunting yards and industrial sites. Thanks to high-profile partners and world-leading clients such as Deutsche Bahn, SNCF Group, ArcelorMittal and CAF we deliver the future of railway operations today.OTIV is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals and in which personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic. OTIV strives to create an environment in which all employees feel confident in their ability to bring their authentic selves to work and secure collaborating with colleagues and customers.What you will doAs an ML engineering intern, you will research, train and validate neural networks operating on camera images or 3D point clouds. You will contribute to the main AI component of ADAS or fully self-driving systems. Since these models are trained on OTIV’s own dataset, you will be responsible for maintaining the datasets used for training and validating models.
Research & selection of neural networks for a variety of tasks: object detection, rail detection, etc..
Training & validation of the selected models
Create, organize and take ownership of datasets used for training and validation
Supervise third party annotation teams
Closely collaborate with data engineers and robotics engineers
RequirementsWho you are
Master in computer engineering, AI or equivalent
Strong coding skills in Python
Proven ability to train and validate neural networks in Pytorch
Experience in handling and maintaining large datasets
Fluent in English (spoken & written) any other language is a plus.
Hands-on / self-driven mentality
Enthusiasm for cutting-edge
Demonstrate a proactive eagerness to learn
Benefits
International environment in a disruptive start-up with opportunities to grow.
Early riser or night owl? Either way, you’ll fit right in our flexible working hours system.
An office in beautiful Ghent (Belgium).
Collaborative, transparent, and fun-loving office culture.