W

Machine Learning Engineer - World Models & Synthetic Data

wayve • United Kingdom
Visa Sponsorship Relocation
Apply Now

Build, scale, and optimise next-generation world model architectures and synthetic data pipelines for autonomous driving. Post-train GAIA-family models, run large-scale generation, and integrate synthetic data into driving-model training and evaluation. Requires 4+ years applied ML/research engineering, strong Python and PyTorch, and hands-on video/generative/world model experience.

Key Highlights
Build and scale world model architectures and synthetic data pipelines for autonomous driving.
Post-train GAIA-family video diffusion models and run large-scale GPU generation.
Integrate synthetic data into driving-model training and measure impact.
Requires 4+ years applied ML/research engineering and strong Python/PyTorch.
Hands-on experience with video, generative, or world models is required.
Key Responsibilities
Post-train, distill, and evaluate GAIA-family large video diffusion models.
Build and run synthetic video generation pipelines across tens of thousands of driving segments.
Integrate synthetic data across different stages of driving-model training and measure impact.
Diagnose and fix geometry, artefacts, calibration, and controllability failures.
Improve throughput and yield through inference optimisations and self-serve workflows.
Expand coverage to new vehicle platforms and safety-critical scenarios.
Technical Skills Required
Python PyTorch Video/Generative World Models
Benefits & Perks
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working
Learning and development budgets
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Job Description

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

About Our Simulation Teams

Want the full job description? Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.

See Jaabz jobs first on Google 1 tap · free · in AI Overviews Jaabz is on your Google Manage Preferred Sources
Keep exploring

Similar Jobs

Explore other opportunities that match your interests

Hidden company

Log in to see location

Premium

Applied AI Engineer

Log in free to see the details

Hidden company

Log in to see location

Premium

Senior Research Engineer, Reinforcement Learning (AI Systems)

Log in free to see the details

Career Resources & Guides

Latest guides related to this job: Visas, Work Permits & Legal Insights, Relocation Guides.

Browse all articles

Subscribe to our newsletter

New visa sponsorship, relocation and remote tech jobs, delivered to your inbox.