Remote Edge ML Engineer for On-Device AI & Optimization

Bright Vision Technologies; Durham (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 machine learning models for edge devices such as mobile and embedded systems. You will handle compression, quantization, and hardware-aware optimization to meet strict performance constraints.

The role requires hands-on production deployment experience on mobile/embedded platforms, with strong Python and C++ skills and a track record of shipping edge AI. This is a remote US role with full-time employment.

Qualifications

• Bachelor’s or Master’s degree in CS/CE or related field.
• Six+ years of experience in ML engineering with edge or mobile AI.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, pruning.
• Experience with at least one major edge inference framework.
• Solid understanding of mobile and embedded hardware architectures.
• Experience deploying ML models to production on mobile or embedded platforms.
• Strong performance engineering and profiling skills.
• Familiarity with on-device privacy and security considerations.

Responsibilities

• Design, optimize, and deploy ML models for edge devices.
• Ensure models run efficiently on resource-constrained platforms.
• Collaborate with cross-functional teams to ship AI capabilities outside data centers.

Skills

Python

C++

ML engineering

Education

Bachelor’s or Master’s degree in Computer Science/Engineering or related field

Tools

Edge inference framework

NPU/DSP toolchains

Model compression tooling

Job description

Bright Vision Technologies is seeking an Edge ML Engineer to design, optimize, and deploy machine learning models for edge devices such as mobile and embedded systems. You will handle compression, quantization, and hardware-aware optimization to meet strict performance constraints.

The role requires hands-on production deployment experience on mobile/embedded platforms, with strong Python and C++ skills and a track record of shipping edge AI. This is a remote US role with full-time employment.