Hybrid Machine Learning Engineer, Student Position

Posted 3 weeks ago

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About the role

  • Machine Learning Engineer developing cutting-edge 3D perception models for autonomous vehicles at Mobileye. Innovating in machine learning for enhanced vehicle perception and safety.

Responsibilities

  • 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.

Requirements

  • **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).

Job title

Machine Learning Engineer, Student Position

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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