Machine Learning Engineer

The Role 

As a 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 personalization, comfort, and collaboration.

You’ll design and deliver ML-driven behaviours 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.

What You’ll Be Working On

• 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