Data Scientist (m/f/d)
Arrk Engineering
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Résumé du poste
ARRK Engineering Spain, Sucursal en España, is seeking a Data Scientist to develop and implement machine learning solutions for automated driving and ADAS. You will analyze multimodal sensor data from camera, radar and LiDAR, and develop DL and CV models for perception and prediction tasks.
Collaborate with software engineers and data scientists to integrate AI solutions, while optimizing algorithms for real-time performance and robustness in a hybrid Madrid environment.
Qualifications
- 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.
- Familiarity with Linux, Git, Docker, cloud platforms, MLOps, Edge AI, or Embedded AI is a plus.
Responsabilités
- 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 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
Connaissances
Formation
Outils
Description du poste
LOCATION
Madrid
COMPANY
ARRK Engineering Spain, Sucursal en España
CONTRACT TYPE
Full-time
Form of Work
Hybride
WHAT TO EXPECT
We offer a dynamic and supportive environment that encourages continuous learning, professional growth, and technical excellence. With a flexible hybrid working model and exposure to cutting-edge research and development projects, you will play an active role in transforming emerging technologies into practical solutions for tomorrow's mobility.
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 and English.
WHAT TO EXPECT
We offer a dynamic and supportive environment that encourages continuous learning, professional growth, and technical excellence. With a flexible hybrid working model and exposure to cutting‑edge research and development projects, you will play an active role in transforming emerging technologies into practical solutions for tomorrow's mobility.
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 and English.
YOUR BENEFITS
- Exciting projects
- Flexible working hours
- Employee events
- Attractive salary
- Creative scope
- Sports and wellness offers
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
Attractive salary
Creative scope
Sports and wellness offers
|-------------------|------------------------|-----------------|-------------------|----------------|----------------------------|
| Exciting projects | Flexible working hours | Employee events | Attractive salary | Creative scope | Sports and wellness offers |
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.
We offer a dynamic and supportive environment that encourages continuous learning, professional growth, and technical excellence. With a flexible hybrid working model and exposure to cutting‑edge research and development projects, you will play an active role in transforming emerging technologies into practical solutions for tomorrow's mobility.
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 and English.
YOUR BENEFITS
Exciting projects
Flexible working hours
Employee events
Attractive salary
Creative scope
Sports and wellness offers
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