Working student Deep Learning & Data Science

We are looking fora 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# 

Qualifications :

• AI/Machine Learning/Deep Learning 
• Algorithms and Data structures 
• Embedded programming in real-time environments 
• Data Visualization 
• Data preprocessing 
• Image / Signal Processing 
• Object Oriented Programming 
• Probability theory & Statistics 
• 2D & 3D Geometry 
• Logical and Analytical thinking  

The languages you should know: 

• English a good level is mandatory 

Additional Information :

LikeABosch Benefits:

Your work-life balance is valuable to us so we offer you:

• 25 Days of annual leave because work-life balance is essential to us;   
• Flexible working hours.

Your health and well-being is important to us so we have you covered:

• Medical subscription;
• Accident insurance;
• Sport activities and well-being initiatives.

We believe in a Life-Long Learning approach so you can take advantage of:

• Technical and soft skills trainings;
• Access to e-learning platforms;
• Local and Global career development programs;
• Opportunity to attend conferences;
• Bookster subscription.

You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.

On top of these we are offering:

• A monthly budget which can be used for several different services on an online benefit platform;
• Annual bonus;
• Lunch discounts.

Ready to work LikeABosch

We live by our values have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.

Remote Work :

No

Employment Type :

Full-time