Machine Learning Engineer - Map Topology & Geometry
SafeAD GmbH
Karlsruhe, Germany
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Karlsruhe, Germany
Tech stack
Artificial Neural Networks
Computer Vision
Big Data
C++
Computer Programming
Python
Machine Learning
Information Technology
Job description
- Develop and refine models for online road topology extraction and lane connectivity prediction
- Design graph-based or transformer architectures to represent complex intersections without HD maps
- Predicting geometric and temporally consistency map elements
- Work on large ML models and big data with our ever growing in-house compute
- Test your software in our self-driving vehicle
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * MSc/PhD in Computer Science, Robotics or equivalent experience
- Experience with transformers and / or graph neural networks architectures
- Strong experience programming in C++ and Python
- A strong team player and learning mindset
It's a plus if you have:
- Hands-on experience in the fields of autonomous driving and computer vision
- Experience in applying machine learning to 3D scene understanding tasks
- Worked in mid to large software projects
