Be part of Apple’s innovative 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 audiencesRequirements:- Ph.D. in Machine Learning, Computer Science, or ECE- Demonstrated experience in ML experiment design- Robust publication history in machine learning conferences- Effective communication and collaboration skills- Experience in software development practicesLeverage your machine learning expertise at Apple to advance groundbreaking manufacturing technologies.#J-18808-Ljbffr

📌 Apple Machine Learning Research Engineer Role (Toronto)
🏢 Apple
📍 Toronto