Seeking a skilled Edge AI Engineer for a full-time remote position, responsible for designing, optimizing, and deploying machine learning models for resource-constrained edge devices, ensuring efficient performance and reliability in production environments.
Key Responsibilities
Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs and embedded accelerators
Apply model compression techniques such as quantization and pruning to fit models within edge constraints
Collaborate with cross-functional teams to align AI capabilities with device constraints and implement secure execution paths
Required Qualifications
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
Six or more years of experience in ML engineering, particularly with edge or mobile AI
Strong proficiency in Python and C++
Hands-on experience with model compression, quantization, and pruning techniques
Experience deploying ML models to production on mobile or embedded platforms