axon
Principal Machine Learning Engineer
At a Glance
- Location
- Seattle, Washington, United States
- Work Regime
- hybrid
- Experience
- 13+ years
- Posted
- 2026-03-10T17:19:03-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
Experience with AI on chips, on device model deployment and management.
Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
Advanced knowledge and hands-on experience with on chips development.
Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.
Compensation & Benefits
Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Responsibilities
Are you passionate about AI?
Do you love engineering solutions enabling fast, cutting-edge science?
As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices.
Collaborating closely with scientists and software engineers, you will enable new AI capabilities for Dedrone products.
As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Multi-modal Sensor Fusion to Real Time Systems with distributed edge compute.
The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide.