Data Scientist (m/f/d)

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

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

Attractive salary

Creative scope

Sports and wellness offers

Exciting projects

Flexible working hours

Employee events

Attractive salary

Creative scope

Sports and wellness offers

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.

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

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.