Remote Edge AI Engineer: Production-Ready ML on Edge

Bright Vision Technologies; Hillsboro (OR); Remote; USD 100,000 - 105,000; Full time

Job summary

Bright Vision Technologies seeks an Edge Computing AI Engineer to design, optimize, and deploy ML models for edge devices, including mobile and embedded platforms.

This role requires model compression, quantization, and hardware-aware optimization to run reliably outside the data center. 6+ years of ML engineering, strong Python and C++, and production deployment on mobile/embedded systems are preferred. This is a 100% remote, US-based position.

Qualifications

• Bachelor’s or Master’s degree in CS/CE or a related field required.
• 6+ years of ML engineering experience, with edge or mobile AI work.
• Proficient in Python and C++ with production ML deployment experience.
• Experience with model compression, quantization, pruning.
• Familiarity with at least one major edge inference framework.
• Understanding mobile/embedded hardware architectures and security considerations.

Responsibilities

• Design and optimize ML models for edge devices.
• Implement model compression, quantization, and pruning.
• Deploy ML models to production on mobile/embedded platforms.
• Analyze performance and optimize for energy and memory.

Skills

Python

C++

Model compression

Quantization

Pruning

Edge inference framework

Mobile/embedded hardware

ML deployment

Performance profiling

On-device privacy & security

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in CS/CE or related field

Tools

TensorFlow Lite

ONNX Runtime

PyTorch Mobile

Job description

Bright Vision Technologies seeks an Edge Computing AI Engineer to design, optimize, and deploy ML models for edge devices, including mobile and embedded platforms.

This role requires model compression, quantization, and hardware-aware optimization to run reliably outside the data center. 6+ years of ML engineering, strong Python and C++, and production deployment on mobile/embedded systems are preferred. This is a 100% remote, US-based position.