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 sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  

About us   

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  

At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  

Make Wayve the experience that defines your career!  

The role

We are seeking an experienced Machine Learning Engineer to join our dynamic team. In this role, you will collaborate closely with our research team to develop, integrate, test, and scale cutting-edge algorithms, tools, and machine learning solutions for autonomous driving. Your work will directly contribute to enhancing the efficiency and speed of our model iterations, bringing innovative research ideas to life faster than ever before.

Challenges you will own:

  • Designing and implementing end-to-end neural networks for autonomous driving applications
  • Working closely with the research team to rapidly prototype and iterate on novel machine learning models
  • Optimizing models for efficiency and performance, ensuring they can operate effectively in real-world autonomous driving scenarios
  • Developing and maintaining a robust machine learning infrastructure that accelerates the research and development cycle
  • Continuously evaluating emerging technologies and methodologies to drive innovation within the team
  • Leveraging an analytical approach that encompasses both qualitative and quantitative aspects to deliver results and insights
  • Ensuring the maintenance of high-quality training data through the employment of advanced visualization and quantitative analysis techniques
  • Effectively communicating data needs within the team to optimize project success and collaboration
  • Collaborating with cross-functional teams to integrate machine learning solutions into our autonomous driving platform
  • Contributing to the creation of a collaborative and innovative engineering culture

About you

Essential

  • 3+ years of postgraduate industry experience training and deploying large-scale models
  • Strong foundation in machine learning and deep learning
  • Advanced knowledge of model compression, quantisation, distillation, parallelism and/or pruning techniques to reduce model size and improve efficiency
  • Ability to stay updated with the latest advancements in model efficiency and apply innovative solutions to enhance existing models or develop new efficient architectures
  • Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, Scikit-learn, TensorRT, or similar tools for model development
  • Strong teamwork and communication skills to collaborate effectively with cross-functional teams including engineers, researchers, and product managers

Desirable:

  • Understanding of hardware-specific optimizations for inference, such as optimizing models for GPUs, TPUs, or edge devices
  • PhD or MSc in Computer Science, Machine Learning, Robotics, or a related field

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 understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

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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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.

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