Be part of Apple’s cutting-edge Product Operations as a Machine Learning Research Engineer, focusing on anomaly detection and automated machine learning approaches. Engage in research to enhance multi-modal data processing in manufacturing. This role revolves around improving Apple’s manufacturing ML capabilities, allowing you to implement effective strategies using diverse data formats like time-series and images.

You will spearhead work from research conception through to practical application, helping shape the direction of manufacturing-related machine learning initiatives. Training other team members in implementing successful methodologies will also form part of your responsibilities. Key Responsibilities:
Research anomaly detection and automated ML techniques




Implement and communicate ML experiments effectively
Support ML software engineers with production strategies
Work alongside academia and internal research teams
Present research findings to diverse audiences Requirements:
Ph.D. in Machine Learning, Computer Science, or ECE
Demonstrated experience in ML experiment design
Solid publication history in machine learning conferences
Effective communication and collaboration skills
Experience in software development practices Leverage your machine learning expertise at Apple to advance groundbreaking manufacturing technologies.

📌 Apple Machine Learning Research Engineer Role Toronto
🏢 Socket.dev
📍 Toronto