Senior Machine Learning Engineer, Government (IL5)

Uare.ai•Los Altos, CA

4d•$180,000 - $260,000•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 U.S. Department of Defense Impact Level 5 (IL5) boundary and demonstrate that it performs as well there as it does commercially. The role involves supporting U.S. government contracts and requires U.S. citizenship. The position is in person five days a week across the company's San Francisco and Los Altos offices, with occasional travel to customer sites, and reports to the CTO. Uare.ai describes its HLM as an Individual AI trained on one person and based on a model capturing seven dimensions of that person's identity. The company states that each person's data does not train anyone else's model. The role will bring the HLM and its supporting systems into Azure Government, with data and processing kept inside the IL5 boundary, and will provide documented evidence and evaluation results for the customer and the ATO process. Uare.ai was founded by Rob LoCascio, founder and former CEO of LivePerson, and is backed by $10.3 million from Mayfield and Boldstart Ventures. The company states that the HLM went live in July 2026. Uare.ai is an equal opportunity employer. The posting gives an expected annual base compensation range of $180,000–$250,000, plus equity and a comprehensive benefits package for full-time employees; the heading also lists $200,000–$260,000 base plus equity.

Requirements

U.S. citizenship is required because the role supports U.S. government contracts that require it.
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 machine learning or applied AI, with 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 through pip may not be possible.
Ability to pass a U.S. government background investigation.

Nice To Haves

An active security clearance.
Speech and audio machine learning 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.
Move the company's retrieval-augmented generation (RAG) and HLM pipelines onto 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.