Working student Deep Learning & Data Science
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Job Description
We are looking for a passionate student to help us develop state-of-the-art AI solutions for ADAS use cases, targeting mobile platforms such as passenger cars, trucks or motorcycles.
In this role you will:
• Design and train neural networks (e.g. vision / radar / lidar / language / multi-modal) for various ADAS use-cases such as object detection, lane detection, scene classifiers, path planning, etc.
• Design / update / maintain various “classical” 2D/3D (i.e. rule-based) computer vision algorithms
• Test and evaluate semantic KPI performance as well as HW efficiency of trained networks / CV algorithms
• Implement and test various visualization (2D/3D) methods to analyze performance of CV/AI algorithms
• Work with Cloud pipelines for model training and real-time target environments for model deployment
• Contribute to various parts of the data lifecycle, ranging from data ingestion, to selection, curation and preparation for training/evaluation
Technology stack:
• Python (and most used ML libraries)
• Pytorch
• Azure
• Databricks
• Version source control (e.g. Git, Bitbucket)
• OpenCV
• C++
• CUDA
• Matlab
• Docker
• Visual Studio
• Linux
• Unity & Blender
• C#
Requirements
Function: Engineering
Experience Level: Entry Level