Be part of Apple's creative 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 techniquesImplement and communicate ML experiments effectivelySupport ML software engineers with production strategiesWork alongside academia and internal research teamsPresent research findings to diverse audiencesRequirements:Ph.D. in Machine Learning, Computer Science, or ECEDemonstrated experience in ML experiment designStrong publication history in machine learning conferencesEffective communication and collaboration skillsExperience in software development practicesLeverage your machine learning expertise at Apple to advance groundbreaking manufacturing technologies.#J-18808-Ljbffr

📌 Apple Machine Learning Research Engineer Role (Alton)
🏢 Socket.dev
📍 Alton