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.