San Francisco / Los Altos, in-person 5 days a week, occasional travel to customer sites • Reports to the CTO • $200K to $260K base + equityAbout the roleYou 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 withAn 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 hireWe 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.
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
