Machine Learning Engineer Automated Driving (m/f/d)
LOCATION
Madrid
COMPANY
ARRK Engineering Spain, Sucursal en España
CONTRACT TYPE
Full-time
Form of Work
Hybride
WHAT TO EXPECT
You will work with large‑scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions. In this role, you will implement and advance innovative, data‑driven software solutions and directly contribute to shaping impactful projects. You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.
Please send your documents in English.
YOUR TASKS
YOUR PROFILE
- Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)
- Analyze and process multimodal sensor data from camera, radar, and LiDAR systems
- Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks
- Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision-Language Models, Generative AI, and Edge AI
- Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions
- Perform technology evaluations, benchmarking activities, and proof-of-concepts based on current scientific research and state-of-the-art methodologies
- Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications
- Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real-time capability
- Improve algorithm performance, robustness, scalability, and real-time capabilities
- Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications
- Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field
- Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions
- Good knowledge of Python and ideally first experience with C++, Rust, or SQL
- Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas
- Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision-Language Models, Generative AI, or multimodal systems
- First experience in processing and analyzing camera, radar, or LiDAR data is a plus
- Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.
- Passion for AI, Computer Vision, and Automated Driving technologie
- Strong analytical mindset, proactive attitude, and willingness to learn
- Excellent communication skills and fluency in German and English.
WHAT TO EXPECT
You will work with large‑scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions. In this role, you will implement and advance innovative, data‑driven software solutions and directly contribute to shaping impactful projects. You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.
Please send your documents in English.
YOUR TASKS
- Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)
- Analyze and process multimodal sensor data from camera, radar, and LiDAR systems
- Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks
- Support the evaluation and integration of modern AI technologies, including Foundation Models,
Vision-Language Models, Generative AI, and Edge AI
- Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions
- Perform technology evaluations, benchmarking activities, and proof-of-concepts based on current scientific research and state-of-the-art methodologies
- Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications
- Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real-time capability
- Improve algorithm performance, robustness, scalability, and real-time capabilities
- Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications
YOUR PROFILE
- Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field
- Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions
- Good knowledge of Python and ideally first experience with C++, Rust, or SQL
- Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas
- Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision-Language Models, Generative AI, or multimodal systems
- First experience in processing and analyzing camera, radar, or LiDAR data is a plus
- Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.
- Passion for AI, Computer Vision, and Automated Driving technologie
- Strong analytical mindset, proactive attitude, and willingness to learn
- Excellent communication skills and fluency in German and English.
YOUR BENEFITS
- Exciting projects
- Flexible working hours
- Employee events
- Sports and wellness offers
- Pleasant working atmosphere
- Hybrid work
CONTACT
Iliana Morales Reyes
[email protected]
+ 49 (0)89 / 31857-0
Privacy Policy
ARRK Engineering is part of the international ARRK group of companies and specialized in product development. Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.
YOUR BENEFITS
Exciting projects
Flexible working hours
Employee events
Sports and wellness offers
Pleasant working atmosphere
Hybrid work
Exciting projects
Adaptable working hours
Employee events
Sports and wellness offers
Pleasant working atmosphere
Hybrid work
Apply now
CONTACT
Iliana Morales Reyes
[email protected]
+ 49 (0)89 / 31857-0
Privacy Policy
ARRK Engineering is part of the international ARRK group of companies and specialized in product development. Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.
For reasons of simplification, only the masculine form is used in this job advertisement. However, persons of any gender and any orientation are always meant equally.
Our job offer is equally directed at severely disabled persons and persons of equal status.
CONTACT
Iliana Morales Reyes
[email protected]
+ 49 (0)89 / 31857-0
Privacy Policy
ARRK Engineering is part of the international ARRK group of companies and specialized in product development. Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.
For reasons of simplification, only the masculine form is used in this job advertisement. However, persons of any gender and any orientation are always meant equally.
Our job offer is equally directed at severely disabled persons and persons of equal status.
WHAT TO EXPECT
ARRK Engineering is part of the international ARRK group of companies and specialized in product development. Within the ARRK group of companies we implement product developments from virtual development to prototypes and small series production.
You will work with large‑scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions. In this role, you will implement and advance innovative, data‑driven software solutions and directly contribute to shaping impactful projects. You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.
Please send your documents in English.
YOUR TASKS
- Develop and implement Machine Learning solutions for Automated Driving and Advanced Driver Assistance Systems (ADAS)
- Analyze and process multimodal sensor data from camera, radar, and LiDAR systems
- Develop, train, and optimize Deep Learning and Computer Vision models for perception, scene understanding, and prediction tasks
- Support the evaluation and integration of modern AI technologies, including Foundation Models, Vision-Language Models, Generative AI, and Edge AI
- Contribute to the development of sensor fusion, perception, and environment modeling solutions for automated driving functions
- Perform technology evaluations, benchmarking activities, and proof-of-concepts based on current scientific research and state-of-the-art methodologies
- Collaborate closely with software developers, systems engineers, and data scientists to integrate AI solutions into automotive applications
- Continuously optimize and validate algorithms with respect to performance, robustness, scalability, and real-time capability
- Improve algorithm performance, robustness, scalability, and real-time capabilities
- Support innovation projects and help transfer emerging research concepts into practical customer solutions and industrial applications
YOUR PROFILE
- Successfully completed degree in Computer Science, Artificial Intelligence, Data Science, Robotics, Mathematics, Physics, or a comparable field
- Initial practical experience in Machine Learning, Deep Learning, Computer Vision, or AI through internships, research projects, theses, or working student positions
- Good knowledge of Python and ideally first experience with C++, Rust, or SQL
- Experience with modern AI frameworks and libraries such as PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, or Pandas
- Basic understanding of modern AI methods and architectures, including Computer Vision, Foundation Models, Vision Transformers, Vision-Language Models, Generative AI, or multimodal systems
- First experience in processing and analyzing camera, radar, or LiDAR data is a plus
- Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.
- Passion for AI, Computer Vision, and Automated Driving technologie
- Strong analytical mindset, proactive attitude, and willingness to learn
- Excellent communication skills and fluency in German and English.
YOUR BENEFITS
CONTACT
Iliana Morales Reyes
[email protected]
+ 49 (0)89 / 31857-0
Privacy Policy
For reasons of simplification, only the masculine form is used in this job advertisement. However, persons of any gender and any orientation are always meant equally.
Our job offer is equally directed at severely disabled persons and persons of equal status.
📌 Machine Learning Engineer Automated Driving (m/f/d) (España)
🏢 ARRK Engineering
📍 España