Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
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).
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