Responsibilities

Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?
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. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling drone safety measures across Public Safety, Enterprise and Defense domains.
Location: Hybrid from Seattle, WA
Reports to: Director of Artificial Intelligence
Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
Implement on device monitoring solutions used for continuous model improvement
Implement innovative model compression solutions to enable AI at the edge.
Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.
Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.

Principal Machine Learning Engineer at Axon · LumiJobs

Principal Machine Learning Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Axon

More roles at Axon