Research Scientist Intern, Multimodal Spatial Intelligence

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.

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 are looking for a curious and motivated Intern to join our team in advancing Multimodal Spatial Intelligence technologies for autonomous driving. In this role, you’ll collaborate closely with experienced researchers and engineers, gaining hands-on experience with state-of-the-art models, data pipelines, and experimental methods for autonomous systems. This is an opportunity to contribute to cutting-edge work while learning from leaders in computer vision, sensor fusion, and robotics.

The ideal candidate has a strong scientific background in 3D vision and multimodal sensor fusion, experience applying these methods at scale, and a deep appreciation for translating cutting-edge research into high-performance, production-grade systems. Particular areas of interest are streaming representations and multimodal conditioning for Geometric Foundation models. If you are passionate about next-generation SLAM, scene understanding, and real-world autonomy challenges — we’d love to hear from you.

What you will bring to Wayve

Essential:

• Working on a PhD in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on Machine Learning, AI, or Computer Vision.

• PhD-level research experience developing and deploying 3D vision or spatial AI systems in real-world settings.

• Proficiency in Python, and familiarity with machine learning libraries such as PyTorch, NumPy, Pandas, and others.

• Understanding of evaluation methodologies for deep learning and spatial perception systems (e.g., metrics, validation strategies, ablations).

• Hands-on experience with SLAM/SFM systems using a combination of traditional and learning-based approaches, ideally using multimodal sensor data (e.g., RGB, LIDAR, RADAR, IMU).

• A strong data mindset: enthusiasm for high-quality data pipelines, large-scale datasets, curation practices, and scaling laws.

• Motivation to take research ideas from prototype to robust, production-level systems.

Desirable:

• Track record of scientific contributions through publications at venues such as CVPR, ICCV, CoRL, NeurIPS, ICML, ICRA, RSS, AAAI.

• Experience in bridging research and applied engineering, particularly within robotics or autonomous systems.

What we offer:

• The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.

• Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact

• Competitive compensation and benefitsA dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too

• A culture that is ego-free, respectful and welcoming

• Potential to publish your research work at a top flight conference

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.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

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.