Remote Edge AI Engineer (ML on Device)

Socket.dev; Columbus, Dublin (OH, OH); 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 that run efficiently on edge devices, including mobile and embedded systems.

The role emphasizes model compression, quantization, and hardware-aware optimization, with production deployment across devices and awareness of resource constraints. Strong Python and C++ are required, with 6+ years of experience and collaboration across teams to deliver onboard AI capabilities.

Qualifications

• Requires a BSc/BEng or MSc in CS/CE or related field.
• 6+ years of ML engineering experience, with edge or mobile AI.
• Strong Python and C++ proficiency.
• Experience with model compression, quantization and pruning.
• Experience with edge inference frameworks and deployment on mobile/embedded devices.
• Knowledge of privacy and security considerations for on-device AI.

Responsibilities

• Design, optimize, and deploy ML models for resource-constrained edge devices.
• Improve model performance through compression and hardware-aware optimization.
• Ship production ML capabilities on mobile/embedded platforms.
• Collaborate with cross-functional teams to align on requirements and timelines.

Skills

Python

C++

Edge ML

Model compression

Quantization

Pruning

On-device deployment

Performance profiling

Cross-functional collaboration

Privacy & security considerations

Education

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

Tools

Edge inference frameworks

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 and embedded systems.

The role emphasizes model compression, quantization, and hardware-aware optimization, with production deployment across devices and awareness of resource constraints. Strong Python and C++ are required, with 6+ years of experience and collaboration across teams to deliver onboard AI capabilities.