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Mid LevelFull-timePythonC++Machine LearningPyTorchAI
Salary Range
$39,780 - $53,820 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Mobileye’s CTO Group is seeking an outstanding Physical-AI Applied Researcher to join their elite research unit. This role involves shaping the next generation of algorithmic foundations for Mobileye’s autonomous driving systems, focusing on decision-making and planning stacks.
Key Responsibilities
- →Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
- →Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
- →Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
- →Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
- →Lead research directions from conception to full-scale production.
- →Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.
Requirements
- ✓M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
- ✓Proven experience in machine learning and deep learning.
- ✓Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc. - advantage).
- ✓Strong programming skills in Python; solid C++ experience - advantage.
- ✓Experience in training large-scale models and working with real-world data.
- ✓Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.
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