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 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 tr

📌 Data Scientist (Madrid)
🏢 ARRK Engineering
📍 Madrid