Autonomous Driving ML Engineer - Hybrid & Flexible
ARRK Engineering GmbH
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Benefits offered by this job
Job summary
ARRK Engineering Spain, Sucursal en España is seeking a data-driven ML Engineer to develop and deploy ML solutions for Automated Driving and ADAS. You will analyze multimodal sensor data (camera, radar, LiDAR) and train DL/vision models for perception, scene understanding, and prediction tasks.
You will evaluate modern AI technologies, collaborate with software engineers and data scientists, and help bring AI into automotive applications with a focus on robustness and real-time performance.
Qualifications
- Successfully completed degree in Computer Science or related 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 technologies
- Strong analytical mindset, proactive attitude, and willingness to learn
- Excellent communication skills and fluency in German and English.
Responsibilities
- Develop and implement Machine Learning solutions for Automated Driving and 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 and prediction tasks
- Support evaluation and integration of AI technologies including Foundation Models and Generative AI
- Contribute to sensor fusion, perception, and environment modeling for automated driving
- Perform technology evaluations, benchmarking, and proof-of-concepts from current research
- Collaborate with software developers, systems engineers, and data scientists to integrate AI into automotive applications
- Continuously optimize algorithms for performance, robustness, scalability, and real-time capability
- Improve algorithm performance and reliability in practical deployments
- Support innovation projects and transfer research concepts to customer solutions
Skills
Education
Tools
Job description
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.
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.
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
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 | Flexible working hours | Employee events | Sports and wellness offers | Pleasant working atmosphere | Hybrid work |
CONTACT
Iliana Morales Reyes
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
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.
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
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.
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