Machine Learning Engineer, AV Engineering

📋 Description Develop the AI driver model architecture and training algorithms to introduce and enhance safety 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 driving behaviours and support Run and analyse on-road and offline experiments, translate results into next steps, and drive 🎯 Requirements Essential: proven experience training deep learning models with end-to-end ownership (data Essential: proven experience taking ML models into production, handling real-world constraints and Desirable: reinforcement learning experience that improved real-world performance. Desirable: experience with end-to-end driving models or transformer networks. Desirable: automotive or safety-critical deployment experience. Desirable: PyTorch Lightning training infrastructure experience. 🎁 Benefits Hybrid work policy combining time in the office with time working from home. Office in Israel as part of a hybrid team environment.