Responsibilities
- Design and manage deep learning workflows for processing data in real time.
- Assess and prepare datasets; define performance benchmarks for models.
- Strengthen monitoring and visibility of machine learning systems in production.
- Build, release, and support microservices that integrate ML functions into operational environments.
- Improve tools and coordination systems for optimizing, deploying, and scaling ML pipelines.
- Participate in research and development to advance machine learning solutions for aerospace and defense use cases.
- Record system designs, processes, and operational standards to support long-term maintainability and reliability.
Compensation
Includes company stock options and a generous benefits package covering health, dental, vision, HSA, FSA, life, disability, and retirement plans.
Work Arrangement
Full-time
Team
Machine learning and aerospace technology development
Other
- Applicants must be U.S. citizens, lawful permanent residents, conditional residents, asylees, refugees, or eligible to obtain required authorizations from the U.S. Department of State, in compliance with U.S. Government Space Technology Export Regulations.
- Full-time roles include stock options and a comprehensive benefits package covering health, dental, vision, HSA, FSA, life insurance, disability, and retirement plans.
Not eligible; applicant must already meet U.S. export control requirements
