What will your job look like:
- Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
- Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
- Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.
All you need is:
- M.Sc. in Mathematics, Computer Science, Electrical Engineering, or related field (PhD - an advantage).
- 8+ years of hands-on experience developing computer vision and deep learning systems.
- Proven experience driving vision models from research through POC and into production.
- Able to take a vaguely-defined research direction and own it end-to-end, independently.
- Strong programming skills in Python.
Nice to have:
- Broad hands-on experience across vision tasks such as object detection and tracking, and 3D scene understanding.
- Technical leadership experience (team management experience an advantage).
- Experience in motion prediction, trajectory forecasting, behavior modeling, or learning-based navigation for autonomous systems.
- First-authored publications at leading peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR).
Skills Required
- M.Sc. in Mathematics, Computer Science, Electrical Engineering, or related field
- 8+ years hands-on experience developing computer vision and deep learning systems
- Proven experience taking vision models from research through POC into production
- Ability to own vaguely-defined research directions end-to-end, independently
- Strong programming skills in Python
- Broad hands-on experience across vision tasks (object detection, tracking, 3D scene understanding)
- Technical leadership experience (team management an advantage)
- Experience in motion prediction, trajectory forecasting, behavior modeling or learning-based navigation
- First-authored publications at leading peer-reviewed conferences (CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR)
- PhD in related field
What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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