Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale

Where you will have an impact

We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in data centric AI.

This role will sit in our Embodied AI division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product.

We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You’ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.

Challenges you will own

  • Technical leadership of at least one company wide program
  • Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
  • Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.
  • Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.
  • Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.
  • Working with leadership and other teams to foster a culture that promotes collaboration, high impact, innovation, and a healthy work environment.
  • Evaluating project decisions and outcomes, identifying dependencies, and analysing risks associated with machine learning deployments.
  • Troubleshooting and optimising machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance.

About you

Essential

  • 7+ years of software and machine learning engineering experience in an industrial or applied research environment
  • Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models
  • Passion to work in a team on research ideas that have real product impact
  • A good grasp of machine learning literature, ideally published
  • Comfortable working with large quantities of image and video data
  • BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience



Desirable

  • Strong software engineering experience in Python and other relevant languages (e.g. C++ and CUDA)
  • Direct experience working in at least one of computer vision, robotics, simulation, graphics, or large language models.
  • MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

What we offer you

  • The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
  • Competitive compensation and benefits
  • A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
  • A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
  • This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.


#LI-AF1

Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
When autocomplete results are available use up and down arrows to review
+ Add another education


Wayve UK Demographic Questions

Wayve is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices.

There is no requirement for any candidate to answer our demographic questions.

For candidates who complete the questionnaire, their data will be anonymised and used only in the aggregate to inform our attraction strategy. Wayve is an equal opportunity employer and this data will be used for opportunity monitoring purposes.

What is your gender identity? (Select one)





Which age group do you belong to? (Select one)







What is your ethnicity? (Select one)







Do you consider yourself to have a disability or long-term health condition? (Select one)



What is your sexual orientation? (Select one)








Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.