Deep Learning Engineer - Prediction & Policy

Description We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty. Responsibilities Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy. End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment. Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets. Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack. Full-time availability at our Tel Aviv HQ Requirements Education: M.Sc. or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related quantitative field with a focus on Deep Learning. Deep Learning Expertise: 3+ years of hands-on experience designing and training complex Deep Learning models. Frameworks: Strong proficiency with PyTorch. Strong Coding: Exceptional programming skills in Python. Data-Driven Problem Solver: Proven track record of leveraging massive datasets to solve open-ended AI challenges and translating research into production-grade models.