We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale. In this role, you will collaborate closely with hardware, software and user-experience teams 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 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 evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team.

Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shipping

Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs

Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications

Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership

Establishing coding standards, best practices, and technical strategies for your team