Wayve

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 an Applied Scientist to lead the advancement and real-world application of Multimodal Spatial Intelligence technologies for autonomous driving. In this role, you will work at the intersection of research and engineering, collaborating closely with both foundational Research and Production Engineering teams. Your focus will be on developing, validating, and deploying machine learning-powered methods for 3D spatial understanding in dynamic, real-world environments.

The ideal candidate has a strong scientific background in 3D vision and sensor fusion, experience applying these methods at scale, and a deep appreciation for translating cutting-edge research into high-performance, production-grade systems. 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:

• 3+ years of experience developing and deploying 3D vision or spatial AI systems in production or real-world settings.
• Proficiency in Python, and familiarity with machine learning libraries such as PyTorch, NumPy, Pandas, and others.
• Deep 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:

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

This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

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.