Senior ML Engineer, DoD IL5 (Azure Gov) Onsite

Uare.ai; San Francisco, Los Altos (CA, CA); On-site; USD 200,000 - 260,000; Full time

Job summary

Uare.ai in San Francisco/Los Altos is seeking a Senior Machine Learning Engineer to deploy the HLM on Azure OpenAI inside a DoD IL5 boundary and prove it performs at least as well there as commercially.

You will stand up Azure OpenAI and Azure AI Speech, port RAG/HLM pipelines to Azure Government services, and build evals, provenance, and access controls. U.S. citizenship is required for government contracts and security clearances benefit the role.

Qualifications

• 7+ years in ML or applied AI, owning models that serve real traffic.
• U.S. citizenship is required.
• Hands-on experience deploying ML or LLM systems in a DoD IL5 environment (Azure Government preferred).
• Deep experience with Azure OpenAI or similar hosted models, RAG, vector search, and evals.
• Comfortable in disconnected or tightly restricted environments where you cannot pip install your way out of a problem.
• Able to pass a U.S. government background investigation. An active clearance is a plus.

Responsibilities

• Serve the models. Stand up Azure OpenAI and Azure AI Speech in Azure Government, and tune them for quality, latency, and cost.
• Port the pipelines. Move our RAG and HLM pipelines onto Azure Government services, with nothing leaving the boundary.
• Prove it works. Build evals for accuracy, grounding, and refusals, and report results to the customer.
• Own provenance. Model versions, prompts, approved images, and data lineage, documented for the ATO.
• Secure retrieval. Build access control and audit logging with our full stack engineer.

Skills

DoD IL5 deployment

Azure Government

Azure OpenAI

RAG pipelines

Vector search

Model evals

Security/compliance

Background clearance

Production ML systems

Python/ML engineering

Tools

Azure OpenAI

Azure AI Speech

Azure Government

RAG tooling

Job description

Uare.ai in San Francisco/Los Altos is seeking a Senior Machine Learning Engineer to deploy the HLM on Azure OpenAI inside a DoD IL5 boundary and prove it performs at least as well there as commercially.

You will stand up Azure OpenAI and Azure AI Speech, port RAG/HLM pipelines to Azure Government services, and build evals, provenance, and access controls. U.S. citizenship is required for government contracts and security clearances benefit the role.