Applied Scientist/Machine Learning Engineer, Gaia

📋 Description

• Invent next-generation, efficient generative world-models (diffusion, transformer or hybrid) that
• Architect interactive world models where agents (or humans) can step the model, enabling
• Optimise end-to-end performance – from latent compression to context pruning – your aim is to
• Define robust metrics for long-horizon coherence, physics fidelity and planner integration; run
• Ship impact: integrate your models into closed-loop training and evaluation, and measure the
• Mentor and influence: guide junior researchers, shape technical road-maps, publish at top venues

🎯 Requirements

• 4+ years of experience in ML research/engineering with a focus on generative video, world models.
• Deep knowledge in diffusion & latent-video models; track record of improving sampling
• Experience working with high-dimensional temporal or spatial-temporal data (e.g., video
• Strong Python and PyTorch engineering fundamentals, and experience building research-grade
• Strong publication record or contributions to open-source ML tooling.
• Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave