Remote Edge AI Engineer – On-Device ML Expert

Bright Vision Technologies; Centennial (CO); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an Embedded AI Engineer to design, optimize, and deploy edge machine learning models for resource-constrained devices, including mobile platforms and embedded systems. You will work across hardware, software, and product teams to ship robust AI capabilities at the edge.

The ideal candidate has 6+ years in ML engineering, strong Python and C++, experience with model compression and edge inference frameworks, and a track record deploying models to production

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 6+ 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.

Responsibilities

• Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators.
• Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints.
• Tune model performance for latency, energy efficiency, and memory footprint on target hardware.
• Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML.
• Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs.
• Implement on-device model update, versioning, and rollback workflows for safe staged rollouts.

Skills

Python

C++

ML engineering

Edge AI

Model compression

Quantization

Pruning

Performance profiling

Embedded hardware

On-device privacy

Cross-functional collaboration

Production deployment

Education

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

Tools

TensorFlow Lite

ONNX Runtime

Core ML

Job description

Bright Vision Technologies is seeking an Embedded AI Engineer to design, optimize, and deploy edge machine learning models for resource-constrained devices, including mobile platforms and embedded systems. You will work across hardware, software, and product teams to ship robust AI capabilities at the edge.

The ideal candidate has 6+ years in ML engineering, strong Python and C++, experience with model compression and edge inference frameworks, and a track record deploying models to production