Machine Learning Engineer (Student Position)

Mobileye’s Object Perception Group is at the forefront of autonomous driving technology. We develop advanced algorithms for the detection and comprehensive understanding of all road users surrounding the vehicle. Our team builds state-of-the-art Deep Learning models optimized for edge hardware, turning the vision of fully autonomous driving into a safe, daily reality.

What will your job look like:

• Research & Develop: Design and implement novel Deep Learning models for object detection and scene understanding as part of a high-end algorithmic engineering team.
• Scale & Innovation: Work with massive-scale real-world data and leverage breakthrough technologies to push the boundaries of perception.
• Problem Solving: Analyze, design, and execute complex experiments to solve critical computer vision challenges in uncontrolled environments.
• Real-world Impact: Gain hands-on experience by integrating your models into production-grade autonomous vehicle stacks, seeing your code influence real-world driving.
  
  

• Academic Excellence: Currently pursuing an M.Sc. or Ph.D. in a relevant field (Machine Learning, Computer Vision, or Computer Science) from a leading university.
• Proven Foundation: Completed B.Sc. with high achievements; solid theoretical background in Machine Learning and Deep Learning.
• Programming Skills: Strong Python development skills and proficiency with deep learning frameworks (PyTorch is preferred/TensorFlow).
• Commitment: Availability to work at least 3 days per week with at least one year remaining until graduation.
• Mindset: Highly motivated, proactive, and capable of conducting independent research in a fast-paced, demanding environment.
  
  

• Industry Experience: Prior experience in a research or development role within the tech industry.
• Publications: A track record of academic publications or workshop papers in top-tier venues.
• Technical Stack: Experience with Linux, Git, Docker, and C++.
• Domain Expertise: Hands-on experience in 2D/3D perception and familiarity with modern architectures such as Transformers, YOLO, and DeTR.