Embedded AI Engineer for Robotics & Edge Deployment

Marso Robotics

Paris

In loco

EUR 65.000 - 90.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Marso Robotics is seeking an AI Engineer to own the full lifecycle of embedded AI models for the Marso robot. You will shape data quality, training, validation, and tooling to accelerate from development to production.

You will deploy models under hardware constraints, contribute to data pipelines, and build internal tools for visualization and debugging performance. French/English communication encouraged in a diverse team.

Competenze

  • 3 to 5 years of AI/ML engineering experience, ideally with embedded/robotics
  • Strong Python and deep learning framework experience (PyTorch/TF)
  • Hands-on deployment of models in production under hardware constraints (edge, quantization, optimization)
  • Solid understanding of data pipelines: collection, cleaning, labeling, quality measurement
  • Rigorous and autonomous, with real-world testing mindset
  • Nice to have: mobile robotics, ROS/ROS2, CV or sensors (lidar, cameras, IMU)

Mansioni

  • Own the development, training, and evaluation of embedded AI models for robot control
  • Ensure model reliability across PoCs, field tests, and production rollout
  • Define and assess data quality
  • Automate dataset extraction for model training
  • Reduce time-to-value between AI model development and production deployment
  • Build internal tools to visualize and debug data and model performance

Conoscenze

Python
PyTorch
TensorFlow
Edge deployment
Data pipelines
Testing in real world

Strumenti

ROS/ROS2

Descrizione del lavoro

Marso Robotics is seeking an AI Engineer to own the full lifecycle of embedded AI models for the Marso robot. You will shape data quality, training, validation, and tooling to accelerate from development to production.

You will deploy models under hardware constraints, contribute to data pipelines, and build internal tools for visualization and debugging performance. French/English communication encouraged in a diverse team.

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