Senior Machine Learning Engineer, Government IL5
- Location
- San Francisco, Los Altos
- Workplace
- On-site
- Employment
- Full-time
- Compensation
- $200k – $275k + equity
- Visa
- US Work Authorization Required
About this role
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.
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.
What happens next
Skip the application pile. Clera gets you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
Clera pitches you to the company
Clera writes the intro, sends it to the founder, and handles the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, Clera gets the call on your calendar. You just show up.
Culture & values
Team works in person, 5 days a week across San Francisco and Los Altos offices
Leaders work closely together with direct collaboration between product, engineering, and go-to-market functions
Company hires for growth mindset
Culture emphasizes outcomes over output, focusing on metrics that matter most
Experiments by default - testing ideas and measuring whether each release worked
Hands-on ownership - people own their work from strategy through delivery, quality and results
Values clear writing and builder energy, seeking people who have built things from zero
Small, seed-stage team of about 20 people
Mission is to discover, develop and protect individuality in the age of AI
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Ask about this role
Tell me about the Senior Machine Learning Engineer, Government IL5 role at Uare.ai on Clera (https://www.getclera.com/jobs/uare-ai/senior-machine-learning-engineer-government-il5--u08bgt6eb9s2). Does it fit my profile and preferences? If it does, tell Clera I'm interested.
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