Remote Edge ML Engineer: Optimize and Deploy AI on Devices

Bright Vision Technologies; Concord (NC); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an Edge ML Engineer to design, optimize, and deploy ML models for edge devices across mobile and embedded platforms. The role requires deep expertise in model compression, quantization, and hardware-aware optimization as well as strong systems engineering to ship AI capabilities outside the data center.

The ideal candidate has 6+ years of ML engineering experience, is proficient in Python and C++, and has deployed edge AI in production on mobile or embedded

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, with significant work on edge or mobile AI.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, and pruning techniques.
• Experience with at least one major edge inference framework.

Responsibilities

• Design, optimize, and deploy ML models for edge devices including mobile and embedded platforms.
• Ensure efficient performance on resource-constrained hardware and systems.
• Collaborate with cross-functional teams to ship edge AI capabilities.

Skills

Python

C++

Model compression

Quantization

Pruning

Edge inference framework

Education

Bachelor’s or Master’s degree in Computer Science or Computer Engineering

Tools

Edge inference framework

NPU/DSP toolchains

Job description

Bright Vision Technologies is seeking an Edge ML Engineer to design, optimize, and deploy ML models for edge devices across mobile and embedded platforms. The role requires deep expertise in model compression, quantization, and hardware-aware optimization as well as strong systems engineering to ship AI capabilities outside the data center.

The ideal candidate has 6+ years of ML engineering experience, is proficient in Python and C++, and has deployed edge AI in production on mobile or embedded