Machine Learning Engineer, App SW

The Role 

As an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.

You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.

• Influence architec