Principal Machine Learning Engineer

Wayve • Sunnyvale, CA

293d • Remote

About The Position

We're looking for leaders 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 which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You'll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.

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

Nice To Haves

• 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

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 analysing risks associated with machine learning deployments.
• Troubleshooting and optimising machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance.

Benefits

• The chance to be part of a truly mission driven organisation 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
• 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.

What This Job Offers

• Education Level: Bachelor's degree