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Principal Machine Learning Engineer

2 months ago

Mountain View, Arkansas, United States Wayve Full time
About Wayve

Wayve is a pioneering developer of Embodied AI technology, dedicated to creating a safer and more efficient future for autonomous driving. Our cutting-edge AI software and foundation models enable vehicles to navigate complex environments, enhancing the usability and safety of automated driving systems.

The Role

We're seeking an experienced Machine Learning Engineer to join our Embodied AI division, working alongside our modelling, robotics, data, and detectives teams to deliver an Autonomous Driving product. As a key member of our team, you'll be responsible for building, integrating, testing, and scaling 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
Requirements
  • 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
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

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.