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© All Rights Reserved. ApplyBlast.com
Rebel Space Technologies
A Machine Learning Engineer at Rebel Space Technologies is responsible for designing, implementing, and optimizing machine learning models for anomaly detection in satellite communications. This role involves developing portable ML infrastructure for deployment in cloud and edge environments, conducting research on ML architecture, and building data pipelines while ensuring compliance with government and defense standards. The ideal candidate has strong experience in scientific Python and modern ML frameworks, along with a proven background in data analytics and machine learning engineering.
Headquarters
Long Beach, California, United States
Company Size
1-10 employees
Founded
2019
Rebel Space is a leading provider of integrated observability and cybersecurity solutions tailored for modern space operations. With a mission to safeguard critical defense and commercial space infrastructure, the company leverages AI-driven technologies to enhance operational visibility and facilitate proactive threat monitoring and response. Its flagship platforms, Stargazer and Muse, enable operators to detect electronic and cyber threats in real-time, optimizing the management of autonomous air and space systems while ensuring mission readiness. Rebel Space is committed to empowering space operators through advanced solutions designed for dynamic and contested environments.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
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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Rebel Space Technologies didn’t post a salary, so this is our estimate from similar listings.