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Full-Time

Staff Applied Scientist

Foundation Models

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Automotive & Transportation
Energy

Senior, Expert

Sunnyvale, CA, USA

Hybrid working policy requires in-office presence.

Category
Applied Machine Learning
Robotics & Autonomous Systems
Deep Learning
AI & Machine Learning
Requirements
  • Masters, PhD or equivalent experience in Computer Science, Engineering, or a related technical discipline.
  • Proven expertise in machine learning, with a focus on areas valuable to our team, such as reinforcement learning, foundation models, perception, large scale pretraining, large language models or large-scale multi-modal models.
  • Demonstrated leadership in scientific efforts, with contributions to top-tier conferences and journals.
  • Exceptional ability to work within and lead a cross-functional team, fostering an environment of collaboration and innovation.
Responsibilities
  • Pioneer the development of Foundation Models for robotics, enabling unprecedented generalization across diverse environments and embodiments.
  • Innovate in multi-modal end-to-end learned models for a wide variety of tasks, including planning.
  • Employ and advance the state-of-the-art in imitation learning and reinforcement learning for dynamic decision-making in real-world scenarios.
  • Explore Large Language and Large Multi-Modal Models and their integration into autonomous systems to improve interpretability, explainability and environmental understanding.
  • Collaborate with cross-functional, international teams to integrate research findings into scalable, production-level solutions.
  • Contribute to academic publications for top-tier conferences like NeurIPS, CVPR, ICCV, ICRA, ICLR, CoRL, COLM, etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field.

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

Growth & Insights
Headcount

6 month growth

29%

1 year growth

41%

2 year growth

88%
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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.