Machine Learning Engineer - Virtual Sensors

CDI
Paris
Salaire : Non spécifié
Début : 22 septembre 2024
Télétravail fréquent
Expérience : > 2 ans
Éducation : > Bac +5 / Doctorat

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Descriptif du poste

Stay one step ahead by watching the ever-evolving landscape of the automotive software domain and emerging technologies!

Join our team and become a software superhero, where you will assist in developing and implementing cutting-edge solutions that will power the systems of tomorrow!

Your Future Tasks

  • Design and Development: Contribute to the design and development of virtual sensors for automotive applications, including static and dynamic mass estimation, wheel adhesion detection, and motor identification.

  • Algorithm Creation: Develop and implement state estimation algorithms and AI-based sensor fusion techniques to enhance the accuracy and reliability of virtual sensors.

  • Prototyping: Build and test prototypes of virtual sensors, ensuring they meet performance and reliability standards.

  • System Integration: Integrate developed sensors into the vehicle’s existing systems, ensuring seamless operation and compatibility.

  • Testing and Validation: Conduct extensive testing and validation of sensors in simulated and real-world environments, documenting results and refining designs as necessary.

  • Collaboration: Work closely with cross-functional teams, including software engineers, hardware engineers, and data scientists, to develop innovative sensor solutions.

What we Offer

  • Your education doesn’t have to stop! We offer extensive training & learning opportunities.

  • Structured career progression - at Reply, we encourage career growth.

  • We have a start-up heart: guaranteed hands-on experience, flexibility, vibrant work environment and free coffee.

  • We dream worldwide, have the structure to make your ideas matter, and partner with significant groups on four continents.

  • Diverse and dynamic work environment - you’ll be surrounded by peers and enthusiasts who share your passion for technology.

  • Opportunities to get involved in Hackathons, Code Challenges and Lab Camps


Profil recherché

Educational Background

PhD in Computer Science, Robotics, Mechatronics, or a related field.

Experience in AI and Machine Learning

Strong background in developing machine learning and AI algorithms, particularly for sensor fusion and state estimation.

Deep Learning Frameworks

Proficiency with deep learning frameworks such as TensorFlow, PyTorch, and Keras.

Sensor Fusion Techniques

Expertise in developing and implementing sensor fusion algorithms to combine data from multiple sensors.

Embedded Systems

Experience in embedded software development using MATLAB, C/C++ and Python.

Communication Skills

Fluent in English; a good level of French will be highly regarded.

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