Principal Edge AI Engineer - Vision & Real-Time

Amatriot Group, LLC; Seattle (WA); Hybrid; USD 215,000 - 230,000; Full time

Job summary

Amatriot Group, LLC in Seattle is seeking a Principal Machine Learning Engineer to architect and implement the platform used by scientists to deliver safe, secure AI for counter-UAS devices. You will collaborate with researchers and software engineers to enable multimodal sensor fusion, real-time systems, and distributed edge computing.

The role focuses on deploying AI models at the edge, optimizing for memory and connectivity constraints, and leading ML infrastructure, platform engineering, and

Qualifications

• B.S. in engineering, mathematics, physics or other highly technical field required.
• 13+ years of software engineering experience required.
• Experience architecting and maintaining large-scale distributed platforms required.
• Experience deploying and optimizing AI models on edge devices required.
• Experience with computer vision, signal processing, and ML infrastructure required.
• Experience taking ML models from R&D to production for customers required.

Responsibilities

• Develop, own, optimize, and deploy ML and DL models into production software products.
• Support scientists through the AI lifecycle from research to production deployment.
• Translate research outputs into scalable, reliable production AI capabilities.
• Contribute to safe, secure, and responsible AI solutions.

Skills

Python

C++

PyTorch

TensorFlow

Edge AI

On-chip AI

System architecture

Team collaboration

Problem solving

Education

B.S. in Engineering, Mathematics, Physics, or another highly technical field

Tools

PyTorch

TensorFlow

Job description

Amatriot Group, LLC in Seattle is seeking a Principal Machine Learning Engineer to architect and implement the platform used by scientists to deliver safe, secure AI for counter-UAS devices. You will collaborate with researchers and software engineers to enable multimodal sensor fusion, real-time systems, and distributed edge computing.

The role focuses on deploying AI models at the edge, optimizing for memory and connectivity constraints, and leading ML infrastructure, platform engineering, and