LOCATION

Madrid

Company

ARRK Engineering Spain, Sucursal en España

CONTRACT TYPE

Full-time

Form of Work

Hybride

What To Expect

You will work with large‑scale sensor, vehicle, and fleet data to drive the development, validation, and optimization of automated driving functions. In this role, you will implement and advance innovative, data‑driven software solutions and directly contribute to shaping impactful projects. You will have the opportunity to grow your expertise while collaborating with a motivated, supportive, and highly skilled team.

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 practica

📌 Machine Learning Engineer Automated Driving (Madrid)
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📍 Madrid