Senior ML Engineer

Job not on LinkedIn

🕒 July 27

🦀 Maryland, Virginia, +1 more states – Remote

🦀 Maryland – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Adelphi Data

WebsiteLinkedInAll Job Openings

2 - 10 employees

🏛️ Government

🎖️ Defense

🔒 Cybersecurity

🔥 Funding within the last year

💰 $7.1M Series unknown on 2025-10

Government • Defense • Cybersecurity

Adelphi Data is a company that provides secure, federated access and collaboration for mission-critical intelligence. Their Connector product unifies disparate intelligence across agencies and partners by analyzing content in place — eliminating data migrations and enabling permission-aware, privacy-preserving access. They offer Clean Rooms for controlled, auditable collaboration, support cross-network and air-gapped/classified environments with cryptographic trust boundaries and full audit trails, and automate discovery and analysis to accelerate intelligence workflows. The company has raised funding to strengthen data sharing for national security.

📋 Description

• Own end-to-end delivery of agentic, full-stack systems from first prototype to stable production, embedded alongside defense and intelligence customers. • Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones. • Work directly with customers to scope problems, sequence delivery, and ship novel AI applications under real-world constraints. • Codify repeatable patterns into reusable tools and building blocks that help the team ship faster.

🎯 Requirements

• Experience in the defense or intelligence fields is required. • You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively. • You prompt-engineer through complex architecture and debug sessions, leverage LLMs across the full development lifecycle. • Hands-on with modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar). • Familiarity with MCP or similar LLM integration frameworks. • You have a clear-eyed view of AI limitations. You know when to trust AI-generated output and when to verify. • Proficiency in infrastructure management (Docker, Kubernetes, AWS). • Expertise in encryption, authentication, Linux systems administration, DevOps, or SRE. • Production experience launching agentic services and forward-deployed AI applications that drive operational value at the customer site. • Experience as a forward-deployed engineer or tech-led delivery role, embedded with mission customers, scoping problems, sequencing delivery, and shipping novel agentic applications under tight constraints. • Experience with federated or privacy-preserving data architectures (such as differential privacy and secure enclaves).

🏖️ Benefits

• Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan. • 401K with 2% company match. • $500 monthly Physical and Mental Health reimbursement program. • Unlimited time-off policy. • Competitive salary and equity compensation. • Opportunity to work on impactful projects in the national security sector. • Career growth and leadership opportunities in a dynamic, innovative environment.