Machine Learning Engineer
Description For Machine Learning Engineer
Wayve, founded in 2017, is at the forefront of autonomous driving technology, developing Embodied AI solutions that are revolutionizing the automotive industry. As a Machine Learning Engineer in our Embodied AI division, you'll be instrumental in scaling end-to-end neural networks for autonomous driving. The role combines technical leadership with hands-on development of ML models and robotics systems.
You'll work in a collaborative environment where innovation and problem-solving are paramount, leading company-wide programs and working with cross-functional teams. The position requires expertise in machine learning, particularly in handling large-scale image and video data, and a proven track record of implementing practical ML solutions.
The company offers a unique culture that values diversity, continuous learning, and real-world impact. You'll be part of a mission-driven organization that's still nimble enough for individual contributions to make a significant difference. The work environment combines the excitement of a cutting-edge tech company with strong support for work-life balance, including hybrid working arrangements and comprehensive benefits.
This is an opportunity to shape the future of autonomous driving while working with some of the brightest minds in the field. Wayve's approach to autonomous driving is unique, focusing on AI-first solutions that are mapless and hardware-agnostic, making this role particularly exciting for those passionate about advancing transportation technology.
Responsibilities For Machine Learning Engineer
- Technical leadership of at least one company wide program
- Developing and implementing machine learning models and robotics systems for autonomous driving
- Collaborating with cross-functional teams on company strategy and roadmap
- Contributing to growth and mentorship of junior engineers
- Troubleshooting and optimizing machine learning models and systems
- Working with leadership to foster collaboration and innovation
- Evaluating project decisions and analyzing risks in ML deployments
Requirements For Machine Learning Engineer
- 7+ years of software and machine learning engineering experience
- Good insight into practical aspects of deep learning features/models
- Good grasp of machine learning literature, ideally published
- Comfortable working with large quantities of image and video data
- BSc or above in Machine Learning, Computer Science, Engineering, or related field
- Strong software engineering experience in Python and other languages (C++, CUDA)
- Experience in computer vision, robotics, simulation, graphics, or large language models
Benefits For Machine Learning Engineer
- Competitive compensation and benefits
- Dynamic and fast-paced work environment
- Learning opportunities from industry experts
- Onsite chef
- Workplace nursery scheme
- Private health insurance
- Cycle scheme
- Therapy
- Yoga
- Two onsite bars
- Large social budgets
- Hybrid working policy
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