Real job — pulled straight from Mobileye’s careers page · Verified July 25, 2026 · No reposts.
Job description
Mobileye is hiring a Machine Learning Engineer — a full-time, based in Ramat Gan, Israel role. Apply directly on Mobileye's careers page below.
Experienced Machine Learning Engineer
Team: Algorithms
Location: Ramat Gan, Israel
Commitment: Full time
Workplace Type: hybrid
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.
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Frequently asked questions
What skills are required for Machine Learning Engineer at Mobileye?
The required skills for Machine Learning Engineer at Mobileye include: Python, Machine Learning, Deep Learning, Computer Vision, Robotics, Linux, Git, Docker, C++.
What is the seniority level for Machine Learning Engineer at Mobileye?
Machine Learning Engineer at Mobileye is a Mid Level level position.
How do I apply for Machine Learning Engineer at Mobileye?
You can view the full description and apply for Machine Learning Engineer at Mobileye on EchoJobs: https://echojobs.io/job/mobileye-experienced-machine-learning-engineer-uody4.