Experienced Machine Learning Engineer
Overview
- Added in 30 days
- 68
- At this company, still open
Skills named in this posting
- C++
- Python
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.
• Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks.
• Innovate in multi-view fusion, motion handling, and spatial representation learning.
• Deliver models that run on real vehicles and integrate into production systems.
All you need is:
• 4+ years of hands-on experience in Machine Learning and Deep Learning.
• M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar).
• B.Sc. from a leading university.
• Strong Python development skills.
• Highly motivated, hard-working, proactive, and driven to solve challenging problems.
• Ability to operate in a fast-paced research & development environment.
Nice to have:
• PhD or relevant academic publications.
• Experience with Linux, Git, Docker, C++.
• Knowledge in 3D perception, computer vision, or robotics.
• Industry experience working on CV and Deep Learning.
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!
Apply on the employer's site
Original posting: jobs.eu.lever.co
RISC-V ecosystem
Mobileye Vision Technologies Ltd. in the RISC-V ecosystem
RISC-V International: Strategic
Mobileye is an Israeli subsidiary of Intel corporation that develops vision-based self-driving car and advanced driver-assistance systems providing warnings for collision prevention and mitigation.
- Uses RISC-V in automotive silicon: EyeQ Ultra is described as a RISC-V processor targeting Level-4 autonomous driving
- Exhibited in the RISC-V booth at Embedded World 2023
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