Wayve Labs
AI
AppliedScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist at Wayve Labs. Skills: Embodied AI, Machine Learning, Computer Vision, Robotics, Foundation models, Generative world modeling, Reinforcement learning, Spatial AI, Python, PyTorch. 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”
What You'll Achieve.
enhancing the usability and safety of automated driving systems; accelerating the transition from assisted to automated driving; deliver impact; push the frontier of embodied AI; prioritise multi-year breakthroughs over incremental gains; long-horizon prediction; scene fidelity; driving performance
Industry & Context.
problem-solving ability; lean into complex challenges
What They're Looking For.
Must Have
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 one or more core Embodied AI areas, such as: Foundation models (e.g., transformers, MoE, large-scale training), Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches), Reinforcement learning (e.g., offline RL, RLHF, reward modeling), Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors), Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL), programming skills in Python, with experience using frameworks such as PyTorch, A data-centric mindset, with experience working on large-scale datasets and evaluation, problem-solving ability, the ability to collaborate effectively in interdisciplinary teams
Nice to Have
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
What You'll Do.
Develop World Models and Planners (e.g.
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
and Sim-to-real transfer
Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction
and driving performance
How You'll Work.
Team & Collaboration
collaborate effectively in interdisciplinary teams
Full Job Description
About us 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. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI. Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas: World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions. Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory. Scalable Decision-Making Systems: Des
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