AI Engineer

Location: Herzliya (IL)

Description

Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home.

At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life. 

Responsibilities

• As an AI Engineer at Mentee Robotics, you will help build scalable deep learning systems for Physical AI and humanoid robotics.
• You will contribute across the full AI lifecycle, from simulator integration and large-scale data pipelines to model training, evaluation, deployment, and optimization on real robotic platforms.
• In this role, you will work with large-scale datasets and compute infrastructure to train state-of-the-art models that enable robots to perceive, reason, and act in the physical world.
• You will help build robust, production-grade systems that bridge simulation and reality, accelerate model iteration, and bring cutting-edge AI capabilities onto real humanoid robots.

Requirements

• B.Sc. in Computer Science, Engineering, or a related field.
• 4+ years of hands-on experience in backend software engineering or machine learning infrastructure.
• Python Expertise: Extensive experience and strong proficiency in Python – a must-have.
• System Architecture: Proven ability to build robust APIs and integrate complex software components.

Advantages

• Proven experience building and scaling deep learning pipelines - beyond just using existing ones.
• Comfortable working in cloud and distributed environments (e.g., AWS, SLURM).