Erstellt am 13. Mai 2026
AI & Machine Learning Engineer - Sensor Fusion & Situational Awareness - 2279
RHESO.TECH
München, Bayern 80331, Germany
Vollzeit
Gehalt: 65.000 $ bis 105.000 $ Jährlich
Reference: 1248662689
AI & Machine Learning Engineer - Sensor Fusion & Situational Awareness M/F
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:
Necessary skills:
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
- 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