Develop the AI driver model architecture and training algorithms to introduce and enhance the
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive

🎯 Requirements

Proven experience training deep learning models, with clear end-to-end ownership (data, training
Experience taking ML models into production, including working through real-world constraints and

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