Machine Learning Engineer, Global Public Sector
Core
Lead applied research on Agent Design, Reliability, and AI Safety to build novel system architectures for high-stakes government applications.
Role type
Senior IC ML Research Engineer (Sovereign AI)
Builds
Reliable multi-step agentic systems, evaluation frameworks, and production-ready AI infrastructure for national security and public policy.
Domain
Public Sector / Sovereign AI / Government
Deliverable
production ML models
Required skills
Python, Agentic Systems Design, LLM Benchmarking, Red-Teaming, Model Optimization, Context Engineering, RAG, GPU-constrained optimization
Preferred skills
Multi-agent systems, Sovereign AI experience, Inference optimization, Zero-to-one research
Technologies
Python, LLMs, RAG, GPU environments
Responsibilities
Design and build agent architectures for autonomous workflows; Develop rigorous evaluation protocols and red-teaming strategies; Synthesize deep research for long-horizon reasoning; Optimize models for niche domains like low-resource languages; Create automated benchmarks for public sector AI; Advise public sector leaders on AI limits and safety.
