Machine Learning Software Engineer

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. In 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. Your 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 applications. Developing cutting-edge AI systems that push the boundaries of what is possible. Collaborating cross-functionally to understand algorithmic constraints and dependencies. Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions. Advising 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 fields. Strong experience in Python. Working experience in C++ or Swift. Foundational 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. Excellent math skills, including linear algebra, computational science and optimization. Creativity and curiosity for solving highly complex problems. Excellent communication and collaboration skills. An interest in incubating ideas and taking them to finish. Experience with iOS/macOS development. Experience shipping algorithms or publishing in top tier CVML conferences.

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