Full-Time
Tech Lead Manager
Behavior and Language
Confirmed live in the last 24 hours
Wayve
201-500 employees
Develops autonomous vehicle technology using AI
Senior, Expert
H1B Sponsorship Available
London, UK
Hybrid working policy; requires in-office presence.
- 7+ years of ML engineering / applied science experience in an industrial research environment
- 2+ years of experience managing small teams
- Experience in GenAI, EfficientAI, LLMs, World Models, Reinforcement Learning, and Autonomous Driving
- Strong software engineering experience in Python and other relevant languages (e.g., C++ and CUDA)
- Several years of experience working on machine learning algorithms and systems
- A good grasp of machine learning literature
- Comfortable working with large quantities of image and video data
- Good insight into the practical aspects of training, validation, testing, and metrics for deep learning features/models
- MS, PhD or above in Machine Learning, Computer Science, Engineering, or a related technical discipline, or equivalent experience
- Contribute technically while managing a small team
- Work across the research team to build, integrate, test, and scale algorithms, tools, and machine learning solutions for autonomous driving
Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating smarter and safer autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai aims to enhance mobility by partnering with companies like Ocado Group and Asda to test their technology in real-world delivery scenarios.
Company Stage
Series C
Total Funding
$1.3B
Headquarters
London, United Kingdom
Founded
2017
6 month growth
↑ 38%1 year growth
↑ 59%2 year growth
↑ 115%
Simplify's Take
What believers are saying
- Wayve.ai's recent $1.05 billion funding round underscores strong investor confidence and provides substantial capital for further innovation and expansion.
- The launch of PRISM-1, a 4D reconstruction model, enhances the testing and training of their autonomous driving technology, potentially accelerating development timelines.
- Partnerships with major retailers and fleet operators offer significant opportunities for real-world testing and rapid deployment of their technology.
What critics are saying
- The autonomous vehicle sector is highly competitive, with major players like Tesla and Nvidia investing heavily in similar technologies, which could impact Wayve.ai's market share.
- The reliance on end-to-end deep learning and embodied AI, while innovative, may face challenges in regulatory approval and public acceptance.
What makes Wayve unique
- Wayve.ai's use of embodied AI software allows vehicles to learn and adapt from experience, eliminating the need for costly HD maps and human-engineered systems, unlike traditional autonomous vehicle technologies.
- Their end-to-end deep learning approach reduces the reliance on expensive robotic stacks, making their solution more cost-effective for automakers.
- Wayve.ai's partnerships with leading UK retailers like Ocado Group and Asda for trialing their technology in delivery fleets demonstrate their practical, real-world application and scalability.
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