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Principal Machine Learning Engineer

Wayve

Salary not specified
Apr 15, 2025
Sunnyvale, CA, US
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Wayve is looking to scale end-to-end neural networks for autonomous driving and needs a Machine Learning Engineer to help achieve this goal.

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
  • 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
  • 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

Responsibilities

  • 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
  • Evaluating project decisions and outcomes, identifying dependencies, and analyzing risks associated with machine learning deployments
  • Troubleshooting and optimizing machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance
  • Technical leadership of at least one company wide program
  • Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs

Other

  • Passion to work in a team on research ideas that have real product impact
  • A culture that is ego-free, respectful and welcoming
  • 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
  • Core working hours so you can be where you need to be for family and loved ones too
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets