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Senior Applied ML Engineer (World Model & Synthetic Data Generation)

wayve • United Kingdom
Visa Sponsorship Relocation
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Key Highlights
Build and optimize next-gen world model architectures (GAIA) for synthetic data generation.
Collaborate between ML research and engineering teams to improve model quality and training efficiency.
Focus on scaling synthetic video generation pipelines and integrating synthetic data into driving-model training.
Key Responsibilities
Post-train and optimize GAIA-class world models for synthetic data generation.
Scale synthetic video generation pipelines across thousands of driving segments.
Integrate synthetic data into driving-model training pipelines and measure impact.
Collaborate with ML researchers and platform engineers on model architecture and training.
Diagnose and fix failures in geometry, calibration, and controllability for training-grade data.
Technical Skills Required
PyTorch GPU Training & Debugging Video/Generative Models (Diffusion, Flow-Matching)
Benefits & Perks
Meaningful equity and long-term ownership
Relocation support and visa sponsorship where applicable
Hybrid working with core hours and access to vehicle workshops/labs
Nice to Have
Experience with novel-view synthesis or neural rendering.
Knowledge of multi-camera rigs and 3D geometry intricacies.
Experience with data-centric training and ablation studies.

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

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