Expand the frontiers of AI with a Machine Learning Engineer role focused on embedded systems. Lead research on model efficiency and collaborate for innovative AI technologies.

As part of the Low Power AI Solution team, you'll drive groundbreaking research on model compression and optimization for efficient hardware deployment. Your work will have significant implications on future AI acceleration technologies and real-world applications.

Key Responsibilities: • Lead research initiatives on ML system optimization • Prototype innovative solutions with hardware/software alignment • Engage with teams in modeling and hardware integration • Influence future deployment strategies for AI models • Contribute to strategic initiatives in embedded intelligence

Requirements: • Documented research success with publications • In-depth knowledge of neural network optimization • Skilled in ML system and compiler optimizations • Proficiency in programming with popular ML frame...