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19 часов назад

Staff Machine Learning Engineer (AI)

160 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Machine Learning Engineer (AI): Developing generative AI platforms, AI agents, and multi-agent systems for network intelligence with an accent on RAG, knowledge bases, and LLM fine-tuning. Focus on designing large distributed systems, optimizing big data workflows, and building high-performance AI core solutions.

Location: Hybrid in Seattle, WA (Legal authorization to work in the US is required)

Salary: $160,000–$200,000

Company

Global leader in cloud-driven networking solutions serving over 50,000 customers worldwide.

What you will do

  • Develop platforms for Generative AI, including AI Agents, RAG, and Knowledge Bases.
  • Implement data mining, anomaly detection, and LLM fine-tuning for network intelligence.
  • Design and architect large distributed systems on cloud platforms such as AWS, Azure, or Google Cloud.
  • Build intelligent multi-agent systems that perceive, learn, and act in real time.
  • Mentor engineers and lead technical design and architecture for the AI Core group.

Requirements

  • Must have legal authorization to work in the United States.
  • 8+ years of experience in the complete software development lifecycle.
  • 6+ years of professional experience with Python and its advanced libraries.
  • Expertise in designing RESTful APIs with hands-on experience using FastAPI.
  • Proficiency in Docker, Kubernetes, and modern CI/CD practices.
  • Experience leading the design and architecture of large distributed systems.

Nice to have

  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience with ML technologies such as PyTorch, Sagemaker, Triton, or TensorRT.
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data and optimize system performance.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • Flexible work schedules and work-from-home opportunities where role permits.
  • Paid time off, including open time off in eligible markets.
  • Retirement savings programs and Employee Stock Purchase Program.
  • Tuition reimbursement and employee assistance program.

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