Senior Machine Learning Engineer, Government (IL5)
Uare Ai
San Francisco or Los Altos, CA · $200k–$260k a year · Posted October 20, 2026
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Pay compared with the market
This listing pays about $230,000 a year. Across 80 open senior machine learning engineer listings that state pay, the middle half runs $197,500 to $229,000 and the median is $201,500. That is 14% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
Senior Machine Learning Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
San Francisco / Los Altos, in-person 5 days a week, occasional travel to customer sites · Reports to the CTO · $200K to $260K base + equity
About Uare.ai
Uare.ai is the platform for Human-First AI. General models give everyone's answer. An Individual AI is trained on one person, so it gives theirs.
It runs on our Human Life Model (HLM), which captures seven dimensions of who someone is. Each HLM belongs to its person, and their data never trains anyone else's model. Live since July 2026, the HLM is now heading into U.S. defense programs, running on Azure OpenAI inside Azure Government at IL5.
Founded by Rob LoCascio, founder and former CEO of LivePerson. Backed by $10.3M from Mayfield and Boldstart Ventures.
About the role
You will make the HLM run on Azure OpenAI inside a Department of Defense/War Impact Level 5 (IL5) boundary, and prove it performs as well there as it does commercially.
What you'll do
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.
Bring voice. Run Voice Capture on Azure AI Speech inside IL5.
Secure retrieval. Build access control and audit logging with our full stack engineer.
What we're looking for
U.S. citizenship is required. This role supports U.S. government contracts that require it.
Hands-on experience deploying ML or LLM systems in a DoD IL5 environment (Azure Government preferred).
7+ years in ML or applied AI, owning models that serve real traffic.
Deep experience with Azure OpenAI or similar hosted models, RAG, vector search (such as Azure AI 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.
Bonus
Speech and audio ML (ASR, voice synthesis).
Fine-tuning models on Azure OpenAI or Azure Machine Learning.
Iron Bank / Platform One container pipelines.
Apply with
An ML system you deployed in IL5: the models, the serving stack, and how you evaluated it. Nothing classified or CUI. Papers or repos welcome.
How we hire
We hire for a growth mindset: outcomes over output, experiments by default, and moving the metric that matters.
Location: in-person, 5 days a week, across our San Francisco and Los Altos offices.
Uare.ai is an equal opportunity employer. We welcome people of every background and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. U.S. citizenship is required for this role because it supports U.S. government contracts that require it.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity and a comprehensive benefits package.
Annual Salary $200,000 — $260,000 USD