Remote Edge AI Engineer: On-Device ML & Optimization

Bright Vision Technologies; Overland Park (KS); Remote; USD 135,000 - 155,000; Full time

Job summary

Bright Vision Technologies is seeking an Intelligent Edge Engineer to design, optimize, and deploy ML models for edge devices, including mobile platforms and embedded systems. The role focuses on model compression, quantization, hardware-aware optimization, and production deployment beyond the data center.

The ideal candidate has 6+ years of ML engineering experience, hands-on expertise in Python and C++, and a proven track record shipping edge AI in constrained environments.

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.
• 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.
• Strong communication and cross-functional collaboration skills.

Skills

Python

C++

ML engineering

Edge AI

Model compression

Quantization

Pruning

Edge inference framework

Embedded hardware

Production deployment

Performance profiling

On-device privacy

Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field

Job description

Bright Vision Technologies is seeking an Intelligent Edge Engineer to design, optimize, and deploy ML models for edge devices, including mobile platforms and embedded systems. The role focuses on model compression, quantization, hardware-aware optimization, and production deployment beyond the data center.

The ideal candidate has 6+ years of ML engineering experience, hands-on expertise in Python and C++, and a proven track record shipping edge AI in constrained environments.