Edge AI Engineer: On-Device ML for Production (Remote)

Bright Vision Technologies; Columbus, Dublin (OH, OH); Remote; 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 that run efficiently on edge devices, including mobile platforms and embedded systems. The role requires expertise in compression, quantization, and hardware-aware optimization.

The ideal candidate has shipped edge AI in production with constraints on compute, memory, energy, and connectivity, and excels in cross-functional collaboration.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Six+ years of ML engineering, with edge or mobile AI experience.
• Strong proficiency in Python and C++.
• Hands-on model compression, quantization, and pruning experience.
• 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/embedded platforms.
• Strong performance engineering and profiling skills.
• Familiarity with on-device privacy and security considerations.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Design, optimize, and deploy edge ML models for resource-constrained devices across mobile and embedded platforms.

Skills

Python

C++

Model compression

Quantization

Pruning

Edge inference

Mobile/embedded HW

Production deployment

Performance profiling

On-device privacy

Cross-functional comms

Education

Bachelor’s or Master’s in CS/CE

Tools

TensorRT

ONNX

PyTorch Mobile

Job description

Bright Vision Technologies is seeking an Edge ML Engineer to design, optimize, and deploy ML models that run efficiently on edge devices, including mobile platforms and embedded systems. The role requires expertise in compression, quantization, and hardware-aware optimization.

The ideal candidate has shipped edge AI in production with constraints on compute, memory, energy, and connectivity, and excels in cross-functional collaboration.