Applied Scientist/Machine Learning Engineer, Gaia

Highlights

• Build next-gen world models that simulate diverse, complex driving environments.
• Enable interactive closed-loop training and evaluation for autonomous driving.
• Help deploy autonomy in new geographies without any real-world data collection.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support where applicable
• Hybrid working with core hours
• Learning and development budgets
• Health insurance and dental
• Enhanced maternity and paternity leave
• Retirement or pension where applicable

Ideal candidate

Generative video researcher who loves fast-paced, collaborative research and wants to push efficient world models from idea to real vehicles and safer autonomy.

Requirements

• 4+ years of experience in ML research/engineering with a focus on generative video, world models
• Deep knowledge in diffusion and latent-video models with track record improving sampling efficiency or throughput
• Experience with high-dimensional temporal or spatial-temporal data such as video or multi-sensor fusion
• Strong Python and PyTorch engineering fundamentals and building research-grade production tools
• Strong publication record or contributions to open-source ML tooling
• Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team