Machine Learning Engineer at Wayve

Join Wayve as a Machine Learning Engineer in Vancouver, where you'll spearhead innovative algorithms for autonomous driving solutions. This hybrid role focuses on developing, testing, and scaling machine learning models. In this pivotal role, you will become a part of the Science team at Wayve, collaborating directly with researchers to iterate and refine groundbreaking machine learning models.

Your expertise will enhance model performance and efficiency, directly influencing project outcomes. You will play a critical role in ensuring that high-quality training data is maintained while also fostering a collaborative engineering culture. Key Responsibilities: • Design end‑to‑end neural networks for autonomous driving • Collaborate with researchers to prototype machine learning models • Optimize models for real-world performance and efficiency • Develop robust machine learning tools and infrastructure • Create insightful metrics and dashboards Requirements: • 5+ years in training large‑scale models • Strong skills in Python and deep learning frameworks • Proven experience in leading technical agendas • Familiarity with model optimization techniques • Excellent teamwork and communication skills Leverage your experience in machine learning to innovate at Wayve and transform the future of autonomous driving. #J-18808-Ljbffr