Ingénieur(e) “Staff" en apprentissage automatique — Détection de route et de voie

Tech Stack

Responsibilities

• Own the model roadmap for road and lane detection within the perception machine learning organization, from concept to production-level model maturity.
• Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity.
• Lead the data strategy for this domain, defining data curation, labeling policies, and active learning pipelines to capture long-tail scenarios.
• Develop robust metrics and evaluation frameworks for lane and road geometry accuracy, temporal consistency, and cross-domain generalization.
• Mentor engineers and scientists, defining best practices for training, model evaluation, and code quality.

Benefits

• Health Insurance

Culture

Requirements