Remote Embedded AI Engineer — Edge ML & On-Device AI

Bright Vision Technologies; Kirkland (WA); 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 AI models that run on mobile and embedded devices. You will optimize models for latency, energy, and memory while ensuring secure on-device execution and privacy-preserving telemetry.

You will build cross-platform runtimes using TensorFlow Lite, ONNX Runtime, and Core ML, and collaborate with hardware teams to tailor deployments to diverse accelerators.

Qualifications

• Six or more years of ML engineering experience
• Experience with edge or mobile AI deployment
• Proficiency in Python and C++
• Experience deploying ML models to production on mobile/embedded platforms

Responsibilities

• Design and implement edge AI solutions for diverse hardware
• Apply compression, quantization, pruning, and optimization techniques
• Tune latency, energy, and memory for target devices
• Build cross-platform inference runtimes using TF Lite, ONNX Runtime, Core ML
• Design secure, on-device model update and rollback workflows
• Collaborate with hardware, firmware, and product teams to meet device constraints

Skills

Python

C++

Edge ML

Model compression

Quantization

Pruning

Privacy by design

Cross-functional collaboration

Performance engineering

Education

Bachelor's or Master's degree

Tools

TensorFlow Lite

ONNX Runtime

Core ML

Job description

Bright Vision Technologies is seeking an Embedded AI Engineer to design, optimize, and deploy edge AI models that run on mobile and embedded devices. You will optimize models for latency, energy, and memory while ensuring secure on-device execution and privacy-preserving telemetry.

You will build cross-platform runtimes using TensorFlow Lite, ONNX Runtime, and Core ML, and collaborate with hardware teams to tailor deployments to diverse accelerators.