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AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness - 2279

Rheso.Embedded
CompanyRheso.Embedded
CategoryEngineering
LocationMunich
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen2 Aug 2026 (the employer did not state a posting date)
Last verified10 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness M/F • Contract type: Permanent • Location: Greater Munich (Hybrid) • Ref: 2279 • Contact: [email protected] The recruiting company: Our client is a European start-up specializing in electronic warfare, secure communications, and precision localization technologies for the defense sector. Key points of the position: Reporting to the engineering team, you will develop advanced AI and machine learning algorithms that transform complex sensor data into reliable situational awareness for defense operations. 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. Necessary skills: • 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 citizenchip is mandatory Salary : 65–105k euros gross annual. RHESO.TECH, a specialized recruitment agency https://www.rheso.tech/ Keywords: machine learning, artificial intelligence, sensor fusion, situational awareness, edge AI, PyTorch, TensorFlow, C++, Python, Kalman filter, data processing, embedded AI, defense technology, Germany