Machine Learning Engineer: Multimodal Sensor Fusion
Core
Designing and implementing advanced algorithms for multimodal sensor fusion to enable intelligent, real-time perception in resource-constrained environments for next-generation products.
Role type
Senior IC machine learning engineer (multimodal sensor fusion)
Builds
Production-ready multimodal deep learning models optimized for edge deployment
Domain
Consumer electronics / Spatial computing / Sensor fusion
Deliverable
production ML models
Required skills
Deep learning, Sensor fusion, Python, PyTorch, Model optimization for edge deployment, Algorithm architecture
Preferred skills
Ph.D. or M.S. in relevant field, Linear algebra, Computational science, Optimization, Hardware integration, Publishing in top-tier AIML conferences
Technologies
PyTorch, Python
Responsibilities
Leading development of multimodal fusion algorithms from concept to shipping, Driving cross-functional collaboration on algorithmic constraints, Partnering with engineers to architect proof-of-concepts and prototype novel hardware, Leading technical discussions and preparing presentations/papers, Establishing coding standards and technical strategies for the team
Seniority
Senior, hands-on IC with thought leadership
