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
AI & Machine Learning

Senior, Expert

Sunnyvale, CA, USA

Hybrid working policy requires time in the office in Sunnyvale.

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 a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software, allowing 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. By partnering with major retailers like Ocado Group and Asda, Wayve.ai is testing its technology in real-world delivery scenarios. The goal of Wayve.ai is to transform mobility by providing scalable and efficient autonomous driving solutions.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

28%

1 year growth

65%

2 year growth

126%
Simplify Jobs

Simplify's Take

What believers are saying

  • Wayve's expansion into the U.S. accelerates technology refinement and adoption.
  • Partnership with Uber enhances market credibility and offers real-world testing opportunities.
  • Max Warburton's appointment as CFO strengthens financial strategy and operations.

What critics are saying

  • Increased competition in San Francisco could dilute Wayve's market presence.
  • Dependency on Uber partnership may pose financial risks if expectations aren't met.
  • U.S. expansion exposes Wayve to stringent regulatory scrutiny and potential legal challenges.

What makes Wayve unique

  • Wayve uses embodied AI, enabling vehicles to learn and adapt without explicit programming.
  • Their AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.
  • Wayve's GAIA-1 model improves efficiency and adaptability of autonomous driving systems.

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