Senior Machine Learning Engineer
Job Description & How to Apply Below
Elevate your career at Wayve as a Senior Machine Learning Engineer dedicated to autonomous driving solutions. Leverage your deep learning expertise to maximize algorithm efficiency and performance.
This engaging role demands a minimum of 3 years of postgraduate experience deploying scalable ML models. Collaborate with researchers to implement and optimize machine learning applications, driving real-world impact in autonomous technologies. You will develop infrastructures that fuel research and creative innovation within a collaborative engineering culture.
Key Responsibilities:
• Create end-to-end neural networks for applications
• Rapidly prototype novel models with research teams
• Drive model optimization for real-world scenarios
• Steward a strong ML infrastructure for development
• Communicate effectively to support cross-functional projects
Requirements:
• 3+ years in industry focusing on machine learning
• Solid knowledge of model compression and techniques
• Strong programming skills in Python
• Experience with deep learning frameworks like Py Torch
• Collaborative communication skills
Make a significant impact in autonomous driving with your expertise and passion at Wayve, based in London.
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Position Requirements
10+ Years
work experience
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