Machine Learning Engineer (Student Position)

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings.
What will your job look like:
Research and develop cutting-edge end-to-end 3D perception models, combining geometry and semantics as part of a leading research team.
Contribute to the development of 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, and 3D Object Detection algorithms.
Innovate in areas such as multi-view fusion, motion handling, and spatial representation learning.
Gain hands-on experience by integrating your models into real-world autonomous vehicle stacks and production environments.
All you need is:
Currently pursuing an M.Sc. or Ph.D. in a relevant field (Machine Learning / Computer Vision / Robotics / CS).
Completed B.Sc. from a leading university with high achievement's
Availability to work at least 3 days per week.
Solid theoretical background in Machine Learning and Deep Learning.
Strong Python development skills and familiarity with deep learning frameworks (PyTorch/TensorFlow).
Highly motivated, proactive, and capable of conducting independent research in a fast-paced environment.

Advantages:
Track record of relevant academic publications or workshop papers.
Experience with Linux, Git, Docker, and C++.Hands-on experience (academic or industry) in 3D perception, computer vision, or robotics.
Existing knowledge of modern architectures (Transformers, BEV perception, Occupancy Networks).
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.