Computer Vision and Machine Learning Engineer

We seek a proactive Computer Vision and Machine Learning Engineer to join our team in designing and implementing advanced algorithms 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 focus on building multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments. 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. Minimum Qualifications BS and a minimum of 20 years in software engineering, computer vision, machine learning or related fields Experience in deep learning frameworks such as PyTorch Proficiency in Python development, using best coding practices Preferred Qualifications M.S. or Ph.D. in computer vision, 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 Hands-on experience of working with sensors and hardware An interest in incubating ideas and taking them to finish Experience shipping algorithms or publishing in top tier CVML conferences