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2 часа назад

Senior Machine Learning Engineer (AI)

185 000 - 230 000$
Формат работы
hybrid/onsite
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
Senior Machine Learning Engineer (AI): Building and deploying machine learning models, custom analytics, and complex data engineering pipelines for image, video, text, geospatial, time-series, and structured data with an accent on LLM integration, agentic systems, and AI operations. Focus on orchestrating production-grade pipelines, developing models for mission-critical government deployments, and shaping the Chariot AI operations platform.

Location: Hybrid/on-site at customer locations in Fort Belvoir, Fairfax County, Virginia, United States; travel up to 15% required.

Salary: $185,000–$230,000/year base pay, plus equity grants and cash bonuses.

Company

hirify.global develops AI operations systems that monitor model performance, manage drift, and support reliable production deployments, including its proprietary Chariot platform.

What you will do

  • Contribute to customer-driven projects and the development of long-term company products.
  • Work with customers, data scientists, software engineers, and DevOps engineers to define requirements.
  • Orchestrate complex data engineering pipelines for production AI systems.
  • Develop machine learning models and custom analytics for image, video, text, geospatial, time-series, and structured data.
  • Support mission-critical deployments in the field and use customer insights to inform product development.

Requirements

  • BS degree in computer science, machine learning, or a related discipline, plus 6+ years of relevant experience.
  • Experience integrating LLMs or building AI agents, agentic workflows, or agentic systems.
  • Excellent Python skills and knowledge of TensorFlow, PyTorch, and/or scikit-learn.
  • Strong software engineering fundamentals, including algorithms, data structures, design patterns, and at least one systems programming language.
  • Proficiency with modern software engineering tools and processes.
  • Active TS/SCI security clearance and US citizenship required.

Nice to have

  • Advanced degree in data science, machine learning, computer science, or a related discipline.
  • Knowledge of client-server architectures and design patterns.
  • Experience deploying software in containerized or cloud environments.
  • Experience with varied unstructured data types and complex production-level technical solutions.
  • Experience leading, managing, or mentoring small cross-functional engineering teams.
  • Experience delivering novel technology solutions in secure government environments.

Culture & Benefits

  • Culture centered on trust, respect, constructive candor, and ownership.
  • Medical, dental, and vision insurance.
  • HSA and FSA plans, including dependent care FSA.
  • 401(k), unlimited PTO, and paid parental leave.
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance.

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