Working student Deep Learning & Data Science
Job details
- Employment
- Full-time
- Posted
- Nov 4, 2026
- Last confirmed open
- Nov 4, 2026
What you'll need to apply
What this employer's standard application typically asks
About this role
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#
- 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
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.