Machine Learning Engineer, Spatial Intelligence

Founded in 2017, Wayve is at the forefront of autonomous driving technology, developing Embodied AI solutions that are revolutionizing the automotive industry. We're seeking a Machine Learning Engineer to join our Spatial Intelligence team, focusing on developing and productionizing Multimodal Spatial Intelligence for autonomous driving.

The role involves close collaboration with Research and Production teams to develop, test, scale, and deploy ML-enabled methods for 3D spatial understanding. You'll be working on cutting-edge technology that combines computer vision, deep learning, and autonomous systems.

As a Machine Learning Engineer, you'll be responsible for driving innovation in next-generation SLAM and spatial understanding. The position requires expertise in 3D vision, multimodal sensors and fusion, with a strong focus on efficiency and engineering excellence. You'll be working with various input modalities including RGB, LIDAR, RADAR, and IMU sensors.

The ideal candidate should have a strong background in production environments, deep technical experience in 3D vision, and a proven track record of implementing complex ML systems. While an advanced degree (MS or PhD) in Computer Science or related fields is desirable, we value practical experience and demonstrated ability to deliver results.

At Wayve, we foster an inclusive, diverse environment where big problems ignite us and uncertainty is embraced. We're committed to creating autonomy that propels the world forward, and your contributions will directly impact the future of autonomous driving technology. Join us in our mission to enhance the usability and safety of automated driving systems through advanced AI software and foundation models.