Overview
Outstanding Graduate - Machine Learning Engineer at Mobileye — Ramat Gan, Israel. 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.
Full job description
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:
-
M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar).
-
B.Sc. from a leading university.
-
Solid background in Machine Learning and Deep Learning.
-
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!
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Verified from the employer's public Lever job collection. The provider-supplied title, description, location and application URL were normalized without inferring unstated facts.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Mobileye Careers (Lever) ↗Browse current Job and Scholarship listings from Mobileye Careers (Lever) →