Tech Lead Manager: Synthetic Data for Autonomous Driving

Wayve; City Of London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Relocation support and visa Sponsoring

Hybrid working

Learning budget & development support

Health insurance & dental

Job summary

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Our hybrid London-based teams collaborate across remote locations to push cutting-edge synthetic data, world-models and scalable training pipelines. As Tech Lead Manager in Simulation, you will lead a high-performing ML engineering and applied science team

Qualifications

• 5+ years of ML engineering or applied research with neural networks.
• 4+ years of people management, including direct reports.
• Deep knowledge of generative modelling for video or temporal data.
• Hands-on experience with video generation and world models.
• Working knowledge of cameras and 3D geometry and their impact on generation.

Responsibilities

• Architect GAIA generation and synthetic data pipeline design.
• Lead end-to-end loop from checkpoint to training artefacts with reproducible lineage.
• Hands-on leadership on key components, codebases and experiments.
• Drive throughput, distillation and self-serve workflows for synthetic data.
• Question assumptions and champion bold ideas beyond incremental gains.
• Grow and structure a high-performing cross-functional ML team.

Skills

ML engineering

People management

Generative modelling

Video/world models

Cameras / 3D geometry

Impact analysis

Large-scale training

Python & PyTorch

Communication

Leadership

Adaptability

Job description

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale.

Our hybrid London-based teams collaborate across remote locations to push cutting-edge synthetic data, world-models and scalable training pipelines. As Tech Lead Manager in Simulation, you will lead a high-performing ML engineering and applied science team