
Staff / Senior Machine Learning Engineer, AV Core
About this role
This role suits experienced machine learning engineers with a track record in autonomous systems who thrive in ambiguous environments and want real ownership. This Staff or Senior Machine Learning Engineer position is based in Sunnyvale, California, and focuses on building safety-critical foundational models for autonomous vehicles.
Role Overview
As a Staff or Senior Machine Learning Engineer in Wayve's AV Core organization, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. You will take the programme from problem definition through modelling, evaluation, integration, and evidence for deployment within a focused, high-impact senior team.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wayve builds an embodied intelligence and AI platform for autonomous vehicles that allows cars to learn directly from real-world experience. The mapless and hardware-agnostic AI platform integrates with global original equipment manufacturer partners to enable continuous software evolution across automation levels from L2 plus to L4. The company operates major hubs globally, including Sunnyvale, London, Yokohama, Herzliya, Vancouver, and Leonberg, with a hybrid working model.
How to Apply
To apply for this role, please visit the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Staff or Senior Machine Learning Engineer position?
The salary range is between $311,850 and $389,400.
Where is the job located?
The position is located in Sunnyvale, California USA, operating under a hybrid working model.
What programming languages and frameworks are required?
Candidates must be proficient in Python and PyTorch, with additional familiarity in tools like C++ or CUDA listed as desirable.
What is the interview process like?
The process includes an initial recruiter screen, competency interviews with the hiring manager and applied ML team, deep-dive technical interviews covering programming, systems design, and PyTorch debugging, and a final interview focused on mission and values alignment.
Is visa sponsorship available for this role?
Yes, relocation support and visa sponsorship are provided where applicable.