Data Scientist (m/f/d)LOCATIONMadridCOMPANYARRK Engineering Spain, Sucursal en EspañaCONTRACT TYPEFull-timeForm of WorkHybride 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

CONTACT Iliana Morales Reyes

49 (0)89 / 31857-0Privacy 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 projectsFlexible working hoursEmployee eventsAttractive salaryCreative scopeSports and wellness offers |-------------------|------------------------|-----------------|-------------------|----------------|----------------------------|| Exciting projects | Flexible working hours | Employee events | Attractive salary | Creative scope | Sports and wellness offers | CONTACT Iliana Morales Reyes

49 (0)89 / 31857-0Privacy PolicyARRK 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





49 (0)89 / 31857-0Privacy 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 adaptable 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 projectsFlexible working hoursEmployee eventsAttractive salaryCreative scopeSports and wellness offers

📌 Data Scientist (m/f/d) (Madrid)
🏢 ARRK Engineering
📍 Madrid