Responsibilities
- Develop and maintain machine learning infrastructure that is portable and flexible, supporting deployments both in cloud environments and on edge devices
- Research, prototype, and survey different ML architecture and workflow optimization techniques
- Design and implement proof-of-concept custom optimizations, then demonstrate how these optimizations improve the performance of existing machine learning models when applied to actual real-world datasets.
- Build 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: We offer comprehensive medical, dental, and vision plans at little to no cost to you.
- Stock Options: Own meaningful equity in Rebel Space.
- Generous PTO: Includes flexible vacation and company paid holidays.
- Maternity/paternity leave.
- Flexible hybrid work options.
- Opportunity to shape the future of space cybersecurity and observability!
Work Arrangement
Hybrid
Additional Information
- To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), applicants must be a US citizen, lawful permanent resident of the U.S., protected individual as defined by 8 USC 1324b(a)(3), or eligible to obtain the required authorization from the US Department of State.
