Principal Machine Learning Engineer

4 weeks ago

London, Greater London, United Kingdom Wayve Full time

Wayve is a pioneering company in autonomous vehicle technology, leveraging breakthroughs in Embodied AI to empower vehicles to navigate complex environments with ease. Our intelligent, mapless, and hardware-agnostic technologies are advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible.

Where You Will Have an Impact

We're seeking a leader 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, working across teams to build, integrate, test, and scale algorithms, tools, and machine learning solutions for autonomous driving.

Key Responsibilities

  • 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 analyzing risks associated with machine learning deployments
  • Troubleshooting and optimizing machine learning models and systems - identifying potential issues, challenging existing assumptions, introducing innovative solutions, and implementing 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

  • The chance to be part of a truly mission-driven organization and an opportunity to shape the future of autonomous driving
  • 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.

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