Senior Machine Learning Engineer, Government (IL5)

Uare.ai•San Francisco, CA

3d•Onsite

About The Position

Uare.ai is hiring a Senior Machine Learning Engineer to deploy its Human Life Model (HLM) on Azure OpenAI within a Department of Defense Impact Level 5 (IL5) boundary and demonstrate that it performs as well as the commercial system. The HLM captures seven dimensions of an individual, with each person’s data kept separate from other people’s models. The role includes deploying and tuning Azure OpenAI and Azure AI Speech in Azure Government; migrating retrieval-augmented generation (RAG) and HLM pipelines to Azure Government services while keeping data within the boundary; building and reporting evaluations for accuracy, grounding, and refusals; documenting model versions, prompts, approved images, and data lineage for the Authorization to Operate (ATO); and bringing Voice Capture to Azure AI Speech in IL5. The engineer will also build access control and audit logging with a full-stack engineer. This is an in-person role five days per week across Uare.ai’s San Francisco and Los Altos offices, with occasional travel to customer sites. The position reports to the CTO. U.S. citizenship is required, and candidates must be able to pass a U.S. government background investigation. An active clearance is a plus. The expected annual base salary is $200,000–$260,000, with equity and a comprehensive benefits package for full-time employees.

Requirements

U.S. citizenship is required because the role supports U.S. government contracts.
Hands-on experience deploying ML or LLM systems in a DoD IL5 environment; Azure Government experience is preferred.
At least 7 years of experience in ML or applied AI, including ownership of models serving real traffic.
Deep experience with Azure OpenAI or similar hosted models, RAG, vector search (such as Azure AI Search), and evaluations.
Comfort working in disconnected or tightly restricted environments where installing packages from the internet is not an option.
Ability to pass a U.S. government background investigation.

Nice To Haves

An active security clearance.
Speech and audio ML experience, including ASR or voice synthesis.
Experience fine-tuning models on Azure OpenAI or Azure Machine Learning.
Experience with Iron Bank or Platform One container pipelines.

Responsibilities

Stand up Azure OpenAI and Azure AI Speech in Azure Government and tune them for quality, latency, and cost.
Port RAG and HLM pipelines to Azure Government services while ensuring nothing leaves the boundary.
Build evaluations for accuracy, grounding, and refusals, and report results to the customer.
Document model versions, prompts, approved images, and data lineage for the ATO.
Run Voice Capture on Azure AI Speech inside IL5.
Build access control and audit logging in collaboration with the full-stack engineer.