Lead Machine Learning Engineer
Job Description & How to Apply Below
Elevate your engineering career at Wayve as a Lead Machine Learning Engineer in Vancouver. Contribute to groundbreaking autonomous driving technology through innovative algorithm development.
As a part of our Science team, you will utilize your advanced machine learning skills to overcome complex challenges in autonomous driving. This role focuses on collaborative development and effective scaling of machine learning solutions, requiring expertise in neural networks and model optimization within a diverse team environment.
Key Responsibilities:
• Design advanced neural networks for driving applications
• Collaborate with research teams to refine novel solutions
• Enhance models for peak performance in driving scenarios
• Maintain and develop essential machine learning tools
• Provide insights through effective metrics and dashboards
Requirements:
• Minimum 5 years of relevant experience in ML model deployment
• Deep expertise in machine learning and deep learning
• Python programming skills with familiarity in relevant frameworks
• Experience in metrics-driven project settings
• Strong communication skills for cross-team collaboration
Shape the future of driving technology at Wayve with your extensive knowledge and leadership in machine learning.
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