Senior Remote Edge ML Engineer

Bright Vision Technologies; Chapel Hill (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 including mobile platforms and embedded systems. The role focuses on model compression, quantization, and hardware-aware optimization with strong systems engineering to ship AI capabilities outside the data center.

The ideal candidate has 6+ years of ML engineering experience, proficient in Python and C++, and a track record deploying edge AI in production under tight compute and

Qualifications

• Bachelor’s or Master’s in CS or related field.
• 6+ years of ML engineering with edge/mobile AI.
• Strong Python and C++ programming skills.
• Experience with model compression, quantization, and pruning.
• Experience with at least one major edge inference framework.
• Knowledge 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.
• Strong communication and cross-functional collaboration.

Responsibilities

• Design, optimize, and deploy ML models for edge devices.
• Work on resource-constrained mobile platforms and embedded systems.
• Apply model compression and hardware-aware optimization.
• Collaborate with cross-functional teams to ship AI capabilities outside the data center.
• Ensure performance under constraints like compute, memory, energy, and connectivity.

Skills

Python

C++

ML engineering

Edge AI

Education

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

Tools

Edge inference framework

Job description

Bright Vision Technologies is seeking an Edge ML Engineer to design, optimize, and deploy ML models for edge devices including mobile platforms and embedded systems. The role focuses on model compression, quantization, and hardware-aware optimization with strong systems engineering to ship AI capabilities outside the data center.

The ideal candidate has 6+ years of ML engineering experience, proficient in Python and C++, and a track record deploying edge AI in production under tight compute and