Edge AI Engineer

Job Summary

To support innovative solutions in a fully remote environment, the full-time Edge AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices while collaborating with cross-functional teams to enhance AI capabilities.

Key Responsibilities

• Design and implement edge AI solutions optimized for various hardware platforms
• Apply model compression techniques to ensure efficient performance within edge constraints
• Collaborate with hardware and product teams to align AI capabilities with device specifications

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 in 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