Apple Machine Learning Research Engineer Role

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 audiences Requirements: • Ph.D. in Machine Learning, Computer Science, or ECE • Demonstrated experience in ML experiment design • Strong 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. #J-18808-Ljbffr