Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Machine Learning Engineer (w/m/d)
MAN Truck & Bus
Applicants with professional experience
München
to be filled from: immediately
Your working environment
TRATON Research & Development (R&D) is undergoing a major transformation to establish a strong, global Group R&D organization. Our goal is to deliver a time-critical roadmap, deliver outstanding customer value, and drive innovation across our brands-Scania, MAN, INTERNATIONAL and Volkswagen Truck & Bus. This transformation will strengthen our competitiveness and position Group R&D as a key business partner within TRATON Group. We are now looking for you to be part of this exciting change journey, shaping the future of Group R&D.We see the individuality of our employees as a strength and welcome diverse applications from people with different backgrounds. If you need support during your application, please contact us.
We are looking for a skilled and motivated Machine Learning Engineer to join our Autonomous Driving team. In this role, you will focus on developing intelligent driving functions and managing large-scale data pipelines in a cloud environment. Your work will directly contribute to the advancement of safe and intelligent mobility solutions.
Your tasks
- Design and implement machine learning models for perception, prediction, and decision-making in autonomous driving systems
- Develop and maintain scalable data pipelines and infrastructure for training and evaluating ML models
- Collaborate with cross-functional teams including software engineers, data scientists, and system architects
- Ensure data quality, consistency, and availability across distributed systems
- Analyze large-scale sensor and vehicle data to improve model performance and system behavior
Your qualifications
- Degree in Computer Science, Robotics, Data Engineering, or a related field
- Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow)
- Solid understanding of data engineering principles and cloud-based data processing tools
- Familiarity with autonomous driving technologies and sensor data (e.g., LiDAR, radar, camera)
- Experience working with distributed systems and large-scale datasets
- Practical knowledge of MLOps, data versioning tools, and cloud-native architectures (including infrastructure-as-code)
- Understanding of safety and validation requirements in automotive applications
- Fluent in German (C2) and English (B2 or higher)
- Willingness to travel occasionally
- Strong sense of responsibility, structured working style, and excellent communication skills
- Confident, proactive, and comfortable working in intercultural teams
We offer
- Flexible working hours with trust-based working hours
- Up to 80% working remotely as well as 20 days/year working from abroad in the EU
- 30 leave days + 6-8 additional free days due to conversion option
- Attractive compensation with 5 special payments
- Benefits and employee discounts including VW leasing offers
- Company pension scheme
- Digital learning from everywhere
- Global career opportunities with TRATON brands in Sweden, USA and Brazi
Job information
This position is with TRATON R&D Germany GmbH in München (department TGRAAC1 (70471219)).
Reference number: 4174
Laura Maria Renauer, +4915167236300, will be happy to answer any questions you may have.
The contact person for the department is Leonie Wulf.
Integrity and compliance are essential parts of our corporate culture.
We promote diversity and equal opportunities and look forward to receiving diverse applications. Stellenkennziffer: 4174
Startzeitpunkt: 01.12.2025 Integrität und Compliance sind wesentliche Elemente unserer Unternehmenskultur. Wir fördern Vielfalt und Chancengerechtigkeit und sehen die Individualität unserer Mitarbeitenden als Stärke an. Wir freuen uns über vielfältige Bewerbungen von Personen mit unterschiedlichen Hintergründen. Falls Du während Deiner Bewerbung Fragen hast oder Unterstützung benötigst, melde Dich bitte bei uns. Jetzt bewerben »
Requirements
We are looking for a skilled and motivated Machine Learning Engineer to join our Autonomous Driving team. In this role, you will focus on developing intelligent driving functions and managing large-scale data pipelines in a cloud environment. Your work will directly contribute to the advancement of safe and intelligent mobility solutions., * Degree in Computer Science, Robotics, Data Engineering, or a related field
- Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow)
- Solid understanding of data engineering principles and cloud-based data processing tools
- Familiarity with autonomous driving technologies and sensor data (e.g., LiDAR, radar, camera)
- Experience working with distributed systems and large-scale datasets
- Practical knowledge of MLOps, data versioning tools, and cloud-native architectures (including infrastructure-as-code)
- Understanding of safety and validation requirements in automotive applications
- Fluent in German (C2) and English (B2 or higher)
- Willingness to travel occasionally
- Strong sense of responsibility, structured working style, and excellent communication skills
- Confident, proactive, and comfortable working in intercultural teams
Benefits & conditions
- Flexible working hours with trust-based working hours
- Up to 80% working remotely as well as 20 days/year working from abroad in the EU
- 30 leave days + 6-8 additional free days due to conversion option
- Attractive compensation with 5 special payments
- Benefits and employee discounts including VW leasing offers
- Company pension scheme
- Digital learning from everywhere
- Global career opportunities with TRATON brands in Sweden, USA and Brazi
