AI & Machine Learning Engineer - Sensor Fusion & Situational Awareness M/F

Missions As an AI & Machine Learning Engineer, your missions will include:

• Processing and analyzing large volumes of real-world sensor data collected in operational environments
• Designing, training, and optimizing machine learning models to classify signals and interpret complex, noisy data streams
• Developing advanced sensor fusion algorithms combining machine learning techniques with classical state estimation methods such as Kalman filters
• Translating ML prototypes into efficient algorithms deployable on embedded systems, in collaboration with embedded software teams
• Optimizing and quantizing ML models to run on resource-constrained edge hardware
• Developing predictive models capable of anticipating environmental changes and entity movements
• Validating and improving algorithms using simulation environments and real-world data from field tests

• You must have a degree in Computer Science, Machine Learning, Robotics, Physics, or a related field
• You have proven experience in applied machine learning and sensor data processing
• You have strong experience with modern ML frameworks such as PyTorch or TensorFlow
• You possess solid programming skills in Python and good proficiency in C++ for algorithm deployment on embedded systems
• You have a strong understanding of sensor fusion, tracking, and localization concepts
• You are comfortable working with imperfect real-world datasets and extracting meaningful insights from noisy inputs
• Fluent English is required and German is strongly appreciated
• Eligibility for German security clearance (SÜ2/Ü2) is required: German or EU citizenship is mandatory

Salary: 65-105k€ (Annuel)