Machine Learning Engineer - Planning & E2E Driving
SafeAD GmbH
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
Computer Vision
Big Data
C++
Computer Programming
Python
Machine Learning
Reinforcement Learning
Information Technology
Job description
- Investigate the use of Foundation Models/VLA for interpretable decision-making and "reasoning" in edge cases
- Bridge the gap between perception outputs and control commands using probabilistic frameworks
- 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 sequence to sequence modelling with transformers and / or foundation models
- 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
- Background in Reinforcement Learning (RL), Imitation Learning, or Behavior Cloning
- Worked in mid to large software projects
