Machine Learning Engineer Automated Driving (m/f/d)
Tamarind Intelligence
Destaca para este puesto: genera un currículum y una carta de presentación adaptados en cuestión de un minuto.
Ventajas ofrecidas por este puesto de trabajo
Descripción de la vacante
ARRK Engineering Spain, Sucursal en España, is seeking a talented AI/ML Engineer to advance automated driving projects. You will develop ML solutions for ADAS, process camera/radar/LiDAR data, and build DL/vision models in collaboration with software engineers and data scientists.
The role emphasizes practical ML/DL experience, Python proficiency, and exposure to PyTorch, OpenCV, and cloud platforms. Hybrid work and growth opportunities are offered in a dynamic automotive environment.
Formación
- 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 technologies
- Strong analytical mindset, proactive attitude, and willingness to learn
- Excellent communication skills and fluency in German and English
Responsabilidades
- 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
Conocimientos
Educación
Herramientas
Descripción del empleo
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
Iliana Morales Reyes
career@arrk-engineering.com
- 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 | Flexible working hours | Employee events | Sports and wellness offers | Pleasant working atmosphere | Hybrid work |
Iliana Morales Reyes
career@arrk-engineering.com
- 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.
Iliana Morales Reyes
career@arrk-engineering.com
- 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.
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
career@arrk-engineering.com
- 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.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
