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 others 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 everyones contributions we achieve our finest work. Here you will not simply join something; you will contribute something 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 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 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 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. nnYour 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.

Working with ML and system engineers and designers to develop quick proof-of-concepts with novel hardware for innovative cutting-edge AI systems that push the boundaries of what is cross-functionally to understand algorithmic constraints and with your team members to prepare presentations papers and talks to explain your on feature definitions/promising development directions in cross-functional groups.

B.S and 7 years of experience in software engineering computer vision machine learning or related experience in experience in C or 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 math skills including linear algebra computational science and and curiosity for solving highly complex communication and collaboration interest in incubating ideas and taking them to with iOS/macOS shipping algorithms or publishing in top tier CVML conferences.