
Technical Lead Manager, Synthetic Data
About this role
This role suits an experienced machine learning leader with a strong background in generative modeling who wants to guide a simulation team in London. The Technical Lead Manager, Synthetic Data position at Wayve involves directing synthetic data initiatives to reduce on-road data collection dependencies for autonomous driving systems.
Role Overview
As the Technical Lead Manager for Synthetic Data at Wayve in London, you will lead a team of machine learning engineers and applied scientists. Your focus will be on turning generative world models into a production engine for training-grade experience. You will oversee algorithmic design, manage direct reports, drive inference optimization, and ensure generated data integrates seamlessly into the broader autonomous driving training stack.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Wayve builds embodied intelligence that moves real vehicles safely and develops the leading AI platform for autonomous driving. The company pioneers an end-to-end AI approach enabling vehicles to learn directly from real-world experience without hand-coded rules or pre-mapped environments. Its mapless and hardware-agnostic AI platform integrates with global OEM partners to unlock advanced automation levels from L2 plus through L4.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the primary mission of the Synthetic Data team?
The team aims to dramatically reduce dependency on expensive and time-consuming on-road data collection by turning generative world models into a production engine for training-grade experience.
Where is this role located?
This role is located in London, United Kingdom.
How many years of ML experience are required?
The role requires 5 or more years of experience in machine learning engineering or applied research.
How many years of management experience are needed?
Candidates must have 4 or more years of people management experience, including direct reports and cross-functional project ownership.
What technical frameworks and languages are expected?
Strong Python and PyTorch engineering fundamentals are required.