Who we are
Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.
Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale
Where you will have an impact
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:
- Leading the development and implementation of synthetic data generation techniques to support the training and testing of AI models
- Collaborating with cross-functional teams to understand requirements and create realistic, scalable synthetic datasets tailored to specific AI applications
- Applying state-of-the-art machine learning and deep learning methodologies to improve the fidelity and efficiency of synthetic data
- Conducting rigorous validation and testing of AI models using synthetic data, identifying and addressing gaps in performance
- Staying abreast of the latest research and technological advancements in synthetic data and neural rendering, integrating new findings 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 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
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. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
- 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.
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 gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief
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.
