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Research Scientist, Wayve Labs
London Hybrid 5-10 yrs exp Venture Capital and Private Equity Principals 19 employees
Machine LearningComputer VisionRoboticsReinforcement LearningSpatial AI
Requirements
Candidates should have 3+ years of experience in developing ML systems and a PhD or equivalent in a related field. Deep expertise in areas such as foundation models, reinforcement learning, and spatial AI is required.
Job Description
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Research Scientist, Wayve Labs
London, United Kingdom
full time
on-site
Wayve Labs
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 Research 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: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.
Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.
Key Responsibilities
What You’ll Bring
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.
See more jobs
Copyright © OpenDigital Limited 2026Terms of ServicePrivacy
Step 1: Upload CV
We will use your CV to fill as much of the application form as possible for you.
Drag and drop or choose a .docx .pdf, .rtf, .odt or .html file to upload
Copyright © OpenDigital Limited 2026Terms of ServicePrivacy
See more jobs
Apply Now
Apply for
Research Scientist, Wayve Labs
London, United Kingdom
full time
on-site
Wayve Labs
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 Research 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: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.
Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.
Key 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
What You’ll Bring
- 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)
- 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
- 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
- Attractive compensation with salary and equity
- Immersion in a team of world-class researchers, engineers and entrepreneurs
- A unique position to shape the future of autonomy and tackle the biggest challenge of our time
- Bespoke learning and development opportunities
- Relocation support with visa sponsorship
- Flexible working hours - we trust you to do your job well, at times that suit you and your time
- Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
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.
See more jobs
Copyright © OpenDigital Limited 2026Terms of ServicePrivacy
Step 1: Upload CV
We will use your CV to fill as much of the application form as possible for you.
Drag and drop or choose a .docx .pdf, .rtf, .odt or .html file to upload
Copyright © OpenDigital Limited 2026Terms of ServicePrivacy
Education
Postgraduate Degree
Skills
Machine LearningComputer VisionRoboticsReinforcement LearningSpatial AIProgrammingPythonData-Centric MindsetProblem-SolvingCollaborationGenerative World ModelingFoundation ModelsSim-to-Real TransferEvaluation FrameworksMultimodal LearningGeometric Foundation Models
About Necessary Ventures
Our world has no shortage of challenges. Every day, we continue to struggle against illness and disease, a lack of opportunity, homelessness, violence and oppression, climate change, and hunger. Technology offers powerful solutions to these challenges. We work with the best founders building the most scalable solutions. Founders compelled by their mission. Founders building Necessary Ventures.