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7 часов назад

Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
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

Machine Learning Engineer (AI): Building the software layer to extract meaning from vast data stores, focusing on transforming the data lakehouse into a semantically-aware intelligence platform. Focus on architecting semantic layers, building knowledge graphs, and developing AI software for complex business queries.

Location: Hybrid in Austin, USA

Company

hirify.global is dedicated to building a better Internet by providing security and performance solutions to millions of websites and Internet properties worldwide.

What you will do

  • Architect Semantic Layers: Design and develop the software infrastructure to layer semantic meaning over the existing data stack.
  • Build Knowledge Graphs: Construct and maintain large-scale knowledge graphs from unstructured and structured sources.
  • Develop AI Software: Build production-grade software and APIs leveraging LLMs and Graph RAG pipelines.
  • Enhance Data Intelligence: Implement embedding-based retrieval and semantic deduplication to improve the precision and reliability of AI agents.
  • Collaborate on AI Solutions: Work with cross-functional teams to deploy conversational agents and automated diagnostics tools.

Requirements

  • 3-5+ years of experience in software or machine learning engineering with a focus on AI-driven applications.
  • Expertise in building knowledge graphs and using graph-based reasoning for AI.
  • Proficiency with LLMs & GenAI, including RAG pipelines and fine-tuning.
  • Strong backend skills in Python, Go, or TypeScript, with the ability to build and debug complex software systems.
  • Analytical mindset with the ability to understand how semantic data structures drive business value.
  • B.S. or M.S. in Computer Science, Engineering, Mathematics, or related fields.

Nice to have

  • Experience with Semantic Search and hybrid vector search query engines.
  • Familiarity with MLOps and deploying models within Kubernetes environments.
  • Published research or a strong background in Applied ML or Computational Intelligence.

Culture & Benefits

  • Complete package of benefits and programs to support you and your family.
  • Health & Welfare Benefits including Medical/Rx Insurance, Dental Insurance, and Vision Insurance.
  • Financial Benefits including 401(k) Retirement Savings Plan and Employee Stock Participation Plan.
  • Flexible paid time off covering vacation and sick leave.

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