Description:

• Participate in the development of a revolutionary system for qualifying autonomous vehicles, and be involved in changing the world.
• Research, design and implement state-of-the-art DL models into Foretellix products to enable scalable qualification of autonomous vehicles.
• Actively participate in defining and building the methodologies, workflow and infrastructure necessary for excellence in DL research and development. This includes data and computation pipelines, SW development best practices and other tools essential for DL models training and deployment.
• Work collaboratively within a cross-functional team of machine learning and software engineers, utilizing an AI-centric approach to develop scalable solutions.

Requirements:

• M.Sc./B.Sc. in Computer-Science / Software-Engineering / Electrical Engineering / Physics or related fields.
• A deep understanding of ML\DL modeling processes, especially for complex, non-trivial data.
• Solid theoretical knowledge in deep neural networks (CNNs, GNNs, Transformers, etc.) and ML.
• At least 5 years of experience in a professional role involving ML\DL and software engineering, preferably involving both research and productization.
• Proficiency in using ML\DL libraries such as PyTorch, TensorFlow, etc.
• A highly motivated self-starter with a passion for technological innovation and a proven ability to drive and manage innovation.

Advantages:

• Prior exposure to the field of robotics / autonomous vehicles.