22 hours ago
Remote, France or Toulouse, FranceMid Level
Responsibilities
- Build and maintain annotated datasets, including frame extraction, labeling, quality checks, and train/validation splits.
- Train, fine-tune, evaluate, and report on computer vision models using clear metrics.
- Implement and test algorithms from research literature in the existing Python codebase.
- Write unit and regression tests and maintain technical documentation.
- Integrate and benchmark vision pipelines on target hardware and diagnose video-input and camera-setup issues.
- Evaluate new sensors by recording data, checking quality, and developing integration prototypes.
- Collaborate with ground, air, and road test-bench teams and international partners.
Requirements
- Master’s degree, engineering degree, or equivalent in computer vision, machine learning, robotics, or a related field, or a comparable portfolio.
- Good Python skills and some experience with PyTorch and OpenCV.
- Knowledge of object detection, tracking, camera geometry, and evaluation metrics.
- Comfort with Git and the Linux command line.
- Ability to work autonomously, rigorously, adaptably, and document work clearly.
- Negotiation-level English is mandatory.
- Curiosity, accountability, collaborative communication, and interest in technology and science.
Benefits
- Fixed-term CDI-C contract linked to the demonstrator deliverable, with an estimated end date of February 2028 and an ASAP start.
- Flexible hours, the opportunity to work remotely, and the ability to craft one’s calendar.
- Opportunity to contribute to a strategic aircraft-connectivity demonstrator and develop aerospace connectivity expertise.
- Startup-style, agile, and empowering work environment supported by Airbus expertise.
- Shared open-space office, experienced colleagues, community bonding events, and complimentary coffee and beverages.
- Role based in Toulouse with collaboration across Europe and an international partnership landscape.