Experienced Machine Learning Engineer
Listed by employer · Checked
Posting date unknown
- Work arrangement
- hybrid
- Employment
- Full time
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 4
“4+ years of hands-on experience in Machine Learning and Deep Learning.”
See matched passage in original description ↓ - Employment type
- Full time
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
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- Not specified
- Citizenship requirement
- Not mentioned
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Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
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.
Show less description
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!
Original formatting and links
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.
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.
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.
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!
What will your job look like:
All you need is:
Nice to have:
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