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Principal 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.
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