Senior Applied Scientist (Neural Reconstruction)

We're looking for an experienced Applied Scientist with expertise in Neural Radiance Fields (NeRFs) and Gaussian Splatting to join our Vision & Graphics team and advance our innovative neural simulator, Ghost Gym. This role is central to improving Ghost Gym's capabilities, utilizing state-of-the-art neural rendering techniques to craft photorealistic 4D worlds. You'll be at the forefront of developing and applying groundbreaking research to generate thousands of simulated scenarios. These scenarios are critical for training, testing, and debugging our end-to-end AI driving models, contributing significantly to the creation of safe and reliable AI driving technology. Your work will focus on improving the efficiency, realism, and dynamism of our simulations, especially for dynamic and outdoor environments, pushing the limits of current photorealistic visualization technologies.

Challenges you will own:

• Conducting cutting-edge research in NeRFs, Gaussian splatting, and related technologies, with a focus on solving real-world challenges in 3D rendering.
• Developing and implementing algorithms for efficient, high-quality 3D scene reconstruction and rendering, particularly for dynamic and outdoor environments.
• Collaborating with cross-functional teams to integrate research findings into scalable, production-level solutions.
• Staying abreast of the latest developments in the field, evaluating and incorporating state-of-the-art techniques into our workflows.
• Potentially finding opportunities to publish research findings in top-tier journals and conferences, contributing to the scientific community and establishing Wayve as a leader in the field.

What you will bring to Wayve:

Essential:

• Proven track record of research in NeRFs, Gaussian splatting, or closely related areas, demonstrated through publications or deployed applications.
• Strong programming skills in Python with experience in deep learning frameworks such as PyTorch.
• Solid foundation in mathematics and physics underlying 3D graphics and rendering techniques.
• Excellent problem-solving skills and the ability to work independently as well as in a team environment.
• Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.

Desirable:

• Experience with dynamic scene reconstruction and rendering, particularly in outdoor environments.
• Familiarity with parallel computing, GPU programming, and optimization techniques.
• PhD or MSc in Computer Science, Computer Engineering, or a related field, with a focus on computer graphics, computer vision, or machine learning.

What we offer you:

• The chance to be part of a truly mission-driven organisation and an opportunity to shape the future of autonomous driving.
• Competitive compensation and benefits.
• A 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 (of you and your dog) - we even eat lunch together every day.
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets.

This is a full-time role based in our office in London. 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 also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.