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 versátil 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, N

📌 Data Scientist (Comunidad de Madrid)
🏢 ARRK Engineering
📍 Comunidad de Madrid