Secure Data Systems is building secure data sharing technology that supports critical national security missions. They need to design, build, and deploy large-scale ML systems that connect and protect sensitive data used by intelligence and defense professionals.
Requirements
- Experience deploying ML systems in production using Python or JavaScript
- Strong understanding of ETL, RDBMS, and data security
- Experience with LLMs, embeddings, or vector stores
Responsibilities
- Build and deploy ML-powered APIs and services
- Develop and optimize large-scale data pipelines
- Work with vector databases, embeddings, and inference systems
- Collaborate with cross-functional teams to deliver production-ready solutions
- Drive innovation in a mission-driven, high-impact environment
Other
- Collaborate with cross-functional teams to deliver production-ready solutions
- Drive innovation in a mission-driven, high-impact environment
- Strong problem-solving skills and a startup mindset
- US Citizen
