Tech Lead Manager, Wayve

Vision and Graphics

Salary not provided

+ Stock options

Python
Senior and Expert level
London

More information about location

2-5 days a week in office

Wayve

Autonomous mobility driven by AI

Open for applications

Wayve

Autonomous mobility driven by AI

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Open for applications

Salary not provided

+ Stock options

Python
Senior and Expert level
London

More information about location

2-5 days a week in office

201-500 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility through embodied intelligence.

Role

Who you are

  • 7+ years of ML engineering / applied science experience in an industrial research environment
  • 2+ years of prior experience managing small research teams (5 people or more)
  • Experience in 3D computer vision and/or Autonomous Driving
  • Passion for working in a team on Machine Learning research ideas that have real-world impact
  • Experience driving a team and technical project through the full lifecycle, ideally within vision or multimodal space
  • Strong software engineering experience in Python
  • 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

Desirable

  • Proven track record of successfully delivering research projects and publications,
  • Experience working with robotics, self-driving, AR/VR, or LLMs

What the job involves

  • We’re looking for bold, talented, and creative people to join our journey in developing next-generation autonomous vehicles
  • We’re a growing start-up building our first cohort of engineers, and you can be at the heart of this!
  • We are looking for an experienced Tech Lead Manager to contribute technically while managing a small team
  • This hybrid role combines hands-on technical contributions with leadership responsibilities
  • You will work across our research team to build, integrate, test, and scale algorithms, tools, and machine learning solutions for autonomous driving

Salary benchmarks

Our take

Wayve is developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.

The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.

Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

28% female employees

24% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

May 2024

$1.1bn

SERIES C

Jan 2022

$200m

SERIES B

Total funding: $1.3bn

Company benefits

  • Learning budget
  • In-house chef
  • Flexible Working
  • Private health insurance and therapy
  • Workplace nursery scheme
  • Onsite bar
  • Large social budgets
  • Enhanced parental leave

Company values

  • Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
  • Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
  • Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
  • Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.

Company HQ

London, UK

Leadership

Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies

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