Senior ML Engineer: Generative World Models for Autonomy

Wayve; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Impactful work

Massive driving datasets

High autonomy and creative freedom

Job summary

Wayve, based in London, is seeking a Machine Learning Engineer for its Simulation team to develop next-generation world models and planners for autonomous driving. The role centers on generative simulation models that enable faster training, broader testing, and scalable deployment in diverse scenarios.

You will build efficient, real-time models (diffusion/transformer or hybrid) and contribute to end-to-end systems with a focus on latency reduction, evaluation loops, and deployment within

Qualifications

• 4+ years of ML research/engineering focused on generative video or world models.
• Deep knowledge of diffusion and latent-video models; proven sampling efficiency improvements.
• Strong Python and PyTorch engineering fundamentals; production tooling experience.

Responsibilities

• Invent next-generation, efficient generative world-models with real-time roll-outs.
• Architect interactive world models enabling RL, planning and safety loops.
• Optimize end-to-end performance to reduce inference latency.

Skills

4+ years ML research/engineering

Diffusion models

Latent-video models

Python

PyTorch

Publications/open-source contributions

Tools

PyTorch

Job description

Wayve, based in London, is seeking a Machine Learning Engineer for its Simulation team to develop next-generation world models and planners for autonomous driving. The role centers on generative simulation models that enable faster training, broader testing, and scalable deployment in diverse scenarios.

You will build efficient, real-time models (diffusion/transformer or hybrid) and contribute to end-to-end systems with a focus on latency reduction, evaluation loops, and deployment within