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Full-Time

Head of AI

Research Manager

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Robotics & Automation
Hardware
AI & Machine Learning

Senior, Expert

Vancouver, BC, Canada

Category
Applied Machine Learning
Robotics & Autonomous Systems
AI Research
AI & Machine Learning
Required Skills
Natural Language Processing (NLP)
Computer Vision
Requirements
  • Prior experience as a manager of research teams (10-15+ people) with a clear career interest towards management
  • Passionate about fostering personal and professional growth in individual team members
  • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
  • Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.
  • Industry experience with machine learning technology development which has had real-world product impact
  • Experience driving a team and technical project through the full lifecycle, ideally within the language, vision or multimodal space
  • Passionate about bringing research concepts through to product
  • Research and engineering fundamentals
  • MS or PhD in Computer Science, Engineering, or similar experience
Responsibilities
  • Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths and weaknesses and their own aspirations.
  • Work closely with project leads to ensure team members are having strong impact and are set up for success.
  • Work closely with project leads and Science leadership to ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals.
  • Offer coaching and technical mentorship to direct reports (especially project leads).
  • Bring technical & project management expertise and experience to help accelerate our progress and decision-making.
  • Challenge the status quo (both technical and organisational/process).
  • Prioritize effectively and keep processes lean and effective.
  • Partner with leadership to maintain a culture of cross-boundary collaboration, impact, innovation, and health.
  • Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds. Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment.
  • Contribute to the day-to-day running of the Science team’s operations and larger collaborative efforts.

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

28%

1 year growth

39%

2 year growth

83%
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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.