Job description
Sr Machine Learning Engineer – Secure Data Systems
About the Role
Join a fast-moving startup building secure data sharing technology that supports critical national security missions. You will help design, build, and deploy large-scale ML systems that connect and protect sensitive data used by intelligence and defense professionals.
This is a hands-on role blending ML engineering, software development, and SecDevOps. You will work across the full LLM stack, from infrastructure to APIs, developing systems that are scalable, efficient, and secure.
What You Will Do
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Build and deploy ML-powered APIs and services
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Develop and optimize large-scale data pipelines
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Work with vector databases, embeddings, and inference systems
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Collaborate with cross-functional teams to deliver production-ready solutions
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Drive innovation in a mission-driven, high-impact environment
What You Bring
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Experience deploying ML systems in production using Python or JavaScript
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Strong understanding of ETL, RDBMS, and data security
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Experience with LLMs, embeddings, or vector stores
- Strong problem-solving skills and a startup mindset
- US Citizen
