Machine Learning Engineer

Machine Learning Engineer | Build AI to unlock real-world intelligence

NYC or DC (Hybrid, 1–2 days/wk) | $200–250k + strong equity

This well-funded AI start-up is using machine learning to transform how U.S. defence and intelligence teams access and share information – turning fragmented, siloed data into secure, real-time intelligence.

They’re backed by $7M in Seed funding and looking for their first dedicated ML engineer to take ownership of the ML stack and build production-grade systems from the ground up.

What You’ll Do

• Build and own the ML stack: LLM-driven services, embedding search, inference pipelines
• Design secure APIs and deploy end-to-end ML systems
• Improve existing ETL flows and vector storage infrastructure
• Operate independently in a tight-knit, high-conviction founding team

You might be a fit if you…

• Have deployed ML/LLM systems in production
• Are strong in Python (bonus: Go/C) and have infra chops (K8s, AWS, Docker)
• Are product-minded and thrive in ambiguous, early-stage environments
• Care about real-world impact in defence, security, or intelligence contexts

Why Join

• $7M Seed raised recently
• High-impact greenfield role reporting to the CEO
• Meaningful equity + top-tier salary
• Real-world technical challenge with national importance
• Culture: tight, mission-driven, technical

If this sounds good to you, apply below!