Research Scientist

About the Company

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

Requirements

• 3+ years of experience developing and deploying ML systems in real-world or production settings
• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field
• Deep expertise in Foundation models, Generative world modeling, Reinforcement learning, or Spatial AI
• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
• Strong programming skills in Python and PyTorch
• Data-centric mindset with experience in large-scale datasets and evaluation

Preferred Qualifications

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

Benefits

• Attractive compensation with salary and equity
• Relocation support with visa sponsorship
• Flexible working hours
• Onsite chef, workplace nursery scheme, and private health insurance
• Daily yoga, therapy, and onsite bar