Machine Learning Engineer
Rebel Space TechnologiesLong Beach, California, United States
Posted October 23, 2025
140000 - 200000 USD year
Full Time
About the Company
Rebel Space Technologies specializes in space and cybersecurity, creating autonomous threat recognition and response software that protects spacecraft, ground stations, and mission operations from sophisticated cyber attacks. By integrating real‑time detection with automated mitigation, the company delivers a dynamic security layer that adapts to evolving threats across the entire space ecosystem. Rebel’s solutions are designed to keep critical space systems resilient even in the harshest operational environments, positioning the firm as a pioneer in building the next‑generation cyber‑security infrastructure for space missions.
Job Description
Rebel Space Technologies is seeking a talented and experienced Machine Learning Engineer to join our team. We believe that as space infrastructure expands, it will be increasingly difficult to secure and monitor these systems against critical failures or evolving cyber threats. To address this, we are building software that empowers developers and operators to rigorously evaluate and secure their systems from conception through to operations.
Requirements
- Define and own system-wide data architecture that integrates data components across the Rebel Space autonomy stack for enhanced analysis and insights.
- Research, prototype, and survey different ML architecture and workflow optimization techniques
- Develop proofs-of-concept of customized optimizations that demonstrate the benefit of your optimizations on real-world models using real-world datasets.
- Develop data collections, labeling pipelines, and evaluation pipelines. Research and develop machine learning models for physical sensor systems.
- Extend existing ML libraries and frameworks.
- Create and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews.
- Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs. Effectively participate in team planning, code reviews, and design discussions.
Benefits
- Premium Healthcare Benefits
- Stock Options
- Generous PTO
- Maternity/paternity leave
- Flexible hybrid work options
