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7 часов назад

Staff Applied ML Engineer (Federal/National Security)

180 000 - 240 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Applied ML Engineer (LLM/AI): Building and deploying production AI systems, LLM-powered applications, agentic workflows, retrieval systems, and model evaluation pipelines for federal and national security missions with an accent on reliability, model adaptation, and operational deployment. Focus on designing rigorous evaluations, optimizing inference across cloud, on-premise, and edge environments, and translating mission requirements into reusable AI platform capabilities.

Location: Remote within the USA; Washington, DC/Northern Virginia preferred. The role may require regular customer-facing work, onsite meetings, secure-facility work, or travel depending on program needs.

Salary: $180,000–$240,000 annually, plus bonus and equity.

Company

hirify.global is an incubation firm building and investing in technology-led companies across healthcare, cyber, and national security.

What you will do

  • Build production LLM-powered applications, AI agents, and agentic workflows.
  • Develop model evaluation, fine-tuning, adaptation, experimentation, retrieval, and context pipelines.
  • Choose between prompting, RAG, fine-tuning, specialized models, or combined approaches for mission requirements.
  • Build evaluation systems for model and agent quality, reliability, tool use, and task completion.
  • Optimize and deploy models across cloud, on-premise, and edge environments using real-world performance and user feedback.
  • Partner with forward-deployed engineers, software engineers, and customers to turn deployments into reusable platform capabilities.

Requirements

  • Significant experience building and deploying production ML or AI systems.
  • Hands-on experience with modern LLMs and foundation models.
  • Deep expertise in several areas including LLM fine-tuning, model evaluation, RAG, agentic systems, model serving, embeddings, synthetic data, guardrails, or AI reliability.
  • Ability to move between ML experimentation and production engineering and work independently on ambiguous technical problems.
  • U.S. citizenship and an active Secret or Top Secret security clearance are required.
  • Interest in working directly with users and operational workflows.

Nice to have

  • Experience supporting federal or national security missions.
  • Experience deploying AI systems in secure facilities or edge environments.

Culture & Benefits

  • Full-time employment with a career track and opportunities for advancement.
  • Employer-paid medical, dental, and vision coverage for employees and families.
  • Fourteen weeks of paid maternity and paternity leave.
  • Unlimited PTO with management approval.
  • Professional development opportunities, optional 401(k), FSA, equity incentives, and mental health benefits.

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