About this role
Based in Herzliya, Israel, the Senior Machine Learning Engineer, ADAS role at Wayve focuses on building perception and intelligence systems for real-world driving assistance. This position suits an experienced practitioner who enjoys hands-on deep learning, perception engineering, and collaborative problem-solving within an autonomous vehicle environment.
Role Overview
Wayve is hiring a Senior Machine Learning Engineer for its ADAS team located in Herzliya, Israel. The position involves developing and improving computer vision and 3D perception models for real-world driver assistance. Team members work across both online, compute-constrained on-car environments and offline, large-scale data generation workflows to enhance vehicle safety and intelligence.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wayve builds embodied intelligence and an AI platform for autonomous driving that enables vehicles to learn directly from real-world experience. The company takes a mapless and hardware-agnostic approach that integrates with global OEM partners to support automation levels from L2 plus up to L4. Wayve operates primary hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.
How to Apply
Interested candidates should apply directly on the official Wayve careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based in Herzliya, Israel, operating under a hybrid working model that combines office collaboration with remote flexibility.
What type of machine learning work does the role involve?
The role focuses on applied machine learning engineering rather than research-only work, specifically building and shipping computer vision and 3D perception systems for driver assistance.
Is automotive industry experience mandatory?
No, automotive domain experience is listed as a bonus rather than a blocker if your perception background comes from elsewhere.
What benefits are included with this position?
Benefits include annually benchmarked salaries, meaningful equity, relocation support and visa sponsorship where applicable, hybrid working flexibility, learning budgets, health and dental insurance, enhanced parental leave, and pension options.
What does the interview process look like?
The process includes an initial recruiter call, competency interviews covering programming and system design, deep-dive technical interviews with the hiring manager or domain expert, and a final mission and values alignment interview.