Applied Scientist/Machine Learning Engineer, Gaia
Core
Developing next-generation generative world models (GAIA) and planners for autonomous driving simulation to enable faster training, broader testing, and scalable deployment without real-world data.
Role type
Senior Machine Learning Engineer (Generative AI / World Models)
Builds
Generative simulation environments, world models, and planning systems for autonomous vehicles
Domain
Autonomous driving, Generative AI, Simulation
Deliverable
production ML models (via careerplan.io/jobs/5d3baafc-4af6-47db-91a0-ee5cb2cf3e04-applied-scientistmachine-learning-engineer-gaia-at-wayve)
Required skills
Generative video modeling, Diffusion models, Latent-video models, High-dimensional temporal data processing, Python, PyTorch, Research-grade production tools, Model optimization, Reinforcement learning, Planning algorithms
Preferred skills
Open-source ML contributions, Top-tier publication record, Systems engineering expertise
Responsibilities
Design and implement efficient generative world models, Optimize inference latency and model throughput, Integrate models into closed-loop training and evaluation, Mentor junior researchers and shape technical roadmaps, Conduct ablation studies and scaling experiments, Collaborate on multi-modal modeling and real-world deployment strategies
Seniority
Senior, hands-on IC with mentorship responsibilities