Search
Go
This job is no longer accepting applications
This listing was closed on Oct 19, 2026.
Browse Open JobsPrincipal Machine Learning Engineer
AAxon
Summary by AIEngineer.careers
Principal Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Axon. in SEATTLE, US. Compensation shown: $177K–$283K. Imported listing (source: jobs-in.us). Apply on the employer's site (jobs-in.us).
Imported listing (source: jobs-in.us) · Apply on jobs-in.us
SEATTLE · US
$177K–$283K
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-in.us
Axon is seeking a Principal Machine Learning Engineer to architect and develop secure, privacy-preserving on-device AI solutions. The role focuses on edge distributed training methodologies and implementing advanced model compression techniques to optimize performance.
Responsibilities
- Architect secure, privacy-preserving on-device AI solutions
- Collaborate on edge distributed training frameworks
- Implement model compression solutions for efficient inference
- Drive technical strategy for ML deployment on edge devices
Requirements
- Deep expertise in machine learning algorithms and model optimization
- Experience with edge computing and on-device AI deployment
- Knowledge of privacy-preserving techniques (e.g., differential privacy, federated learning)
- Strong background in distributed systems and training pipelines
Nice to Have
- Experience with hardware-aware model compression
- Publications or contributions to open-source ML projects
- Background in security-focused AI development
A
Axon
Scottsdale · US · 3938+ employees
Axon is a global leader in public safety technology, providing an ecosystem of advanced devices, intelligent software, and AI-powered solutions designed to protect life. Their offerings support law enforcement, government agencies, and enterprise security with tools ranging from energy devices to cloud-based evidence management systems.
