Apple is seeking a proactive Senior Machine Learning Software Engineer to join the CVML team in Sunnyvale, California. You will design and implement advanced systems for spatial computing and artificial intelligence, translating cutting-edge research into production-ready solutions that delight users. Collaborate with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework, and help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of real-time and historical contextual data, supporting advanced AI and machine learning models. Your responsibilities span from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform reliably in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing. Minimum qualifications: B.S. and 7+ years of experience in software engineering, computer vision, machine learning or related fields; strong experience in Python; foundational understanding of ML algorithms and development pipelines; ability to work effectively with ML practitioners and integrate ML components into production systems. Preferred qualifications: M.S.

Apple is seeking a proactive Senior Machine Learning Software Engineer to join the CVML team in Sunnyvale, California. You will design and implement advanced systems for spatial computing and artificial intelligence, translating cutting-edge research into production-ready solutions that delight users. Collaborate with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework, and help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of real-time and historical contextual data, supporting advanced AI and machine learning models. Your responsibilities span from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform reliably in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing. Minimum qualifications: B.S. and 7+ years of experience in software engineering, computer vision, machine learning or related fields; strong experience in Python; foundational understanding of ML algorithms and development pipelines; ability to work effectively with ML practitioners and integrate ML components into production systems. Preferred qualifications: M.S.