Senior Applied Scientist (Synthetic Data)

Who are we?

Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we’re building things differently. 

We don’t think it’s scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments.

Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere.

The impact you will have:

We're looking for an experienced Applied Scientist with expertise in synthetic data to join our Vision & Graphics team. You'll be at the forefront of advancing our innovative neural simulator, Ghost Gym, 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. You will play a crucial role in designing, developing, and deploying innovative AI models. You will focus on generating and utilizing synthetic data to train and validate our AI systems, ensuring they meet the highest standards of accuracy and reliability.

Challenges you will own:

• Lead the development and implementation of synthetic data generation techniques to support the training and testing of AI models.
• Collaborate with cross-functional teams to understand requirements and create realistic, scalable synthetic datasets tailored to specific AI applications.
• Apply state-of-the-art machine learning and deep learning methodologies to improve the fidelity and efficiency of synthetic data.
• Conduct rigorous validation and testing of AI models using synthetic data, identifying and addressing gaps in performance.
• Stay abreast of the latest research and technological advancements in synthetic data and neural rendering, integrating new findings into our workflows.
• This could involve 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:

Must haves:

• Proven expertise in synthetic data generation and application in AI model training and testing.
• Strong foundation in machine learning, deep learning, and neural rendering techniques.
• Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch.
• Demonstrable experience with tools relevant to synthetic data generation.
• 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.

Our offer:

• A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• Competitive compensation and stock options
• On-site chef and bar, lots of fun socials, a workplace nursery scheme and more!
• Help relocating/travelling to London, with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your team.

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.