What you will do

As an experienced ML (Machine Learning) engineer, you will research, train, and validate neural networks operating on camera images and/or 3D point clouds. You will contribute to the main AI component of ADAS (Advanced Driver Assistance Systems) and 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. You will work on a combination of end-to-end multi input neural networks and single data source neural networks.

Tasks and responsibilities

• 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
• Deploy AI models on edge devices
• Supervise third party annotation teams
• Closely collaborate with data engineers and robotics engineers

Requirements

Who you are

You are experienced in end-to-end neural networks for vision based applications: you know how to train, finetune, scale and deploy them.

• Master/PhD in computer engineering, AI or equivalent
• Strong coding skills in Python
• Proven ability to train and validate neural networks in Pytorch (using ONNX)
• Experience in handling and maintaining large datasets
• Experience in solving computer vision problems
• Knowledge of CUDA and/or TensorRT
• Fluent in English and knowledge of any other European language is a plus.

Benefits

What we offer

• Full time offer with competitive salary package.
• International environment in a disruptive scale-up with opportunities to grow.
• Early riser or night owl? Either way, you’ll fit right in our flexible working hours system.
• Office-first culture, with an office in beautiful Ghent (Belgium).
• Collaborative, transparent, and fun-loving office culture.
• Team events and quarterly offsite.
• 32 days of vacation.