Machine Learning Software Engineer

Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.\\n\\nSpatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.\\n\\nOur computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.\\n\\nAre you prepared to make a lasting impact on the future of technology?

We seek a proactive Software Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.\n\nIn this role, you will collaborate closely with computer vision and machine learning researchers to develop 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. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. \n\nYour work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.

B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.\nStrong experience in Python.\nWorking experience in C++ or Swift.\nFoundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems..

M.S., or Ph.D. with 5+ years of industry experience in machine learning or related fields.\nExcellent math skills, including linear algebra, computational science and optimization.\nCreativity and curiosity for solving highly complex problems.\nExcellent communication and collaboration skills.\nAn interest in incubating ideas and taking them to finish.\nExperience with iOS/macOS development.\nExperience shipping algorithms or publishing in top tier CVML conferences.