Geospatial ML Engineer
Distributed Spectrum
About this role
A Geospatial ML Engineer at DS will lead the development of a foundational machine learning model to detect and track physical devices in the RF spectrum, overseeing the entire geospatial ML pipeline from data collection to deployment. This role requires expertise in GIS and geospatial ML, focusing on implementing rigorous domain adaptation and best practices in geo data. The engineer will collaborate closely with leadership to translate customer needs into actionable capabilities while ensuring robust model performance on constrained platforms. Proficiency in Python, PyTorch, and experience with embedded systems and model deployment are essential for success in this position.
Skills
About Distributed Spectrum
www.distributedspectrum.comDistributed Spectrum is a pioneering technology company focused on providing actionable insights from radio spectrum data through affordable, efficient sensors. Specializing in real-time detection of radio signals, their edge AI technology identifies nearby threats from diverse sources, enhancing operational awareness without the need for expensive hardware. The company aims to create a vast detection mesh that integrates seamlessly with existing systems, empowering users with real-time alerts and advanced situational awareness capabilities. As the first AI signals expert, Distributed Spectrum is at the forefront of enhancing safety and security through innovative spectral analysis.
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About Distributed Spectrum
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Distributed Spectrum.
Salary
$180k – $250k
per year