Principal Machine Learning Engineer

Job overview

The Principal Machine Learning Engineer role is hybrid, with Mondays remote and Tuesday through Friday onsite in Seattle, WA or Sterling, VA. The target salary range is $215,000–$230,000 per year; the posting also lists $400,000–$450,000 OTE. The role supports a platform that enables scientists to deliver safe, secure, and reliable AI capabilities to counter-UAS devices. This engineer leads and contributes to the development, optimization, and production deployment of machine-learning systems, including edge AI for resource-constrained devices. The work connects research to reliable customer-facing products and advances multimodal sensing, real-time systems, and distributed edge computing.

What you'll do

• Develop, own, optimize, and deploy machine-learning and deep-learning models
• support scientists across research, experimentation, and production deployment
• develop computer-vision, signal-processing, and sensor-fusion solutions
• optimize models for AI chips and edge devices
• architect and maintain distributed ML platforms
• develop production software using Python and C++
• collaborate with scientists, engineers, and product managers
• provide technical leadership.

What we're looking for

Skills & competencies

principal machine learning engineer

seattle wa

sterling va

hybrid

monday remote

tuesday–friday onsite

edge ai

machine learning

computer vision

sensor fusion

python

c++

pytorch

tensorflow

Work arrangement

• Weekend coverage required

Why this role

Hybrid schedule: Mondays remote, Tuesday–Friday onsite; target salary $215,000–$230,000 with stated OTE of $400,000–$450,000; requires a B.S. in a technical field and 13+ years of software engineering experience; Python, C++, PyTorch and/or TensorFlow experience required.

About the employer

Amatriot Group, LLC is hiring for this role. Industry: Engineering Services. Sector: 54.