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About the Role

Wayve is seeking Research Scientists to develop next-generation AI systems for autonomous driving, working at the intersection of machine learning, simulation, robotics, and real-world deployment. The role involves contributing to core innovations in embodied AI within a high-conviction research team focused on multi-year breakthroughs.

Responsibilities

Develop World Models and Planners for realistic and consistent simulation.
Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks.
Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
Enable Cross-Embodiment Robotics, leveraging multimodal foundation models to accelerate robotic learning.
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 one or more core Embodied AI areas (Foundation models, Generative world modeling, Reinforcement learning, Spatial AI).
Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL).
Strong programming skills in Python, with experience using frameworks such as PyTorch.
A data-centric mindset, with experience working on large-scale datasets and evaluation.
Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams.
Experience in autonomous driving, robotics, or simulation systems (nice-to-have).
Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX) (nice-to-have).
Experience with sim-to-real transfer or data-efficient learning (nice-to-have).
Contributions to open-source ML tools or research infrastructure (nice-to-have).

Skills

Machine Learning
Computer Vision
Robotics
Embodied AI
Foundation models
Transformers
Mixture of Experts (MoE)
Large-scale training
Generative world modeling
Diffusion models
Autoregressive models
Reinforcement learning
Offline RL
Reinforcement Learning from Human Feedback (RLHF)
Reward modeling
Spatial AI
Simultaneous Localization and Mapping (SLAM)
Structure from Motion (SfM)
Depth estimation
Multi-view geometry
Multimodal sensors
Python
PyTorch
Data-centric approach
Large-scale datasets
Evaluation frameworks
Autonomous driving
Simulation systems
FSDP
DeepSpeed
JAX
Sim-to-real transfer
Data-efficient learning
Open-source ML tools
Research infrastructure

Location

London

Work Type

Full-time
Hybrid

Experience Level

3+ years of experience

Education Level

PhD
Master’s degree
Equivalent experience

Salary/Compensations

Attractive compensation with salary and equity

Benefits

Bespoke learning and development opportunities
Relocation support with visa sponsorship
Flexible working hours
Onsite chef
Workplace nursery scheme
Private health insurance
Therapy
Daily yoga
Onsite bar
Large social budgets
Unlimited L&D requests
Enhanced parental leave

About the Company

Founded in 2017, Wayve is a leading developer of Embodied AI technology.
Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment.
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.
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.
We value diversity, embrace new perspectives, and foster an inclusive work environment.
Make Wayve the experience that defines your career!

Equal Opportunity

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve.
For US candidates only, please visit E-Verify Notice and Participation and Right to Work.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.