Senior Edge ML Engineer - Remote

Bright Vision Technologies; Alpharetta (GA); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies seeks an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on edge devices such as mobile and embedded systems. You will leverage model compression, quantization, and hardware-aware optimization to meet energy and compute constraints.

The ideal candidate has 6+ years of ML engineering experience, strong Python and C++ skills, and a track record of deploying edge AI in production while collaborating across teams.

Qualifications

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

Responsibilities

• Design, optimize, and deploy ML models for edge devices.
• Lead hardware-aware optimization and quantization efforts.
• Collaborate with software and hardware teams to ship production edge AI.

Skills

Python

C++

Edge ML

Model compression

Education

Bachelor's or Master's in CS/CE

Tools

Edge inference framework

Job description

Bright Vision Technologies seeks an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on edge devices such as mobile and embedded systems. You will leverage model compression, quantization, and hardware-aware optimization to meet energy and compute constraints.

The ideal candidate has 6+ years of ML engineering experience, strong Python and C++ skills, and a track record of deploying edge AI in production while collaborating across teams.