Edge AI Engineer, responsible for designing, optimizing, and deploying machine learning models for edge devices in a full-time remote position.
Key Responsibilities
Design and implement edge AI solutions optimized for various hardware platforms
Apply model compression techniques to fit models within edge constraints
Collaborate with cross-functional teams to align AI capabilities with device constraints
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