Machine Learning Engineer (Vision)

Job description

Who we are

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 are seeking skilled engineers to join several key teams within our organization. These include our End2End Model Development Team, which is tasked with creating comprehensive models for real-world applications; our Datasets Team, which focuses on a data-centric approach to ensure we have the highest quality data for training our models; and our Model Optimization Team, where expertise in technologies like CUDA is essential for enhancing model performance and efficiency. Each team plays a critical role in our commitment to advancing cutting-edge solutions, and your contribution will help drive innovation and excellence across our projects.

Challenges you will own

  • Helping productionize an end-to-end self driving neural network for autonomous driving.
  • Workinging closely with Platform and Research teams to integrate, test and scale ML features for production.
  • Productionizing and scaling our ML models by working across Data, Validation, Platform and Research

What you will bring to Wayve


  • 3 + years experience in shipping ML features and in applied research
  • Passion to take research ideas to production
  • Good grasp of state of the art literature
  • Experience in working in platform teams and working with research teams
  • Good insight into the training, validation, testing and metrics for deep learning features/models
  • Experience in reporting and tracking over time benchmarked performance in an open and accessible way
  • Ability to write high quality, well-structured and tested Python code
  • BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience


  • Solid experience working with concurrent, parallel and distributed computing
  • Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data
  • Knowledge of computing fundamentals - what makes code fast, secure and reliable
  • MS or PhD 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

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.

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