Computer Vision and Machine Learning Engineer
Role details
Job location
Tech stack
Job description
possibilities while maintaining genuine human connection.\n\nOur computer vision and machine learning (CVML) team of researchers and engineers tackles 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 computer vision and deep learning. 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 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.\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 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.\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.
Requirements
BS and a minimum of 20 years in software engineering, computer vision, machine learning or related fields\nExperience in deep learning frameworks such as PyTorch\nProficiency in Python development, using best coding practices
M.S. or Ph.D. in computer vision, 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\nHands-on experience of working with sensors and hardware\nAn interest in incubating ideas and taking them to finish\nExperience shipping algorithms or publishing in top tier CVML conferences