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2 месяца назад

Graph Engineer (Knowledge Graphs)

180 000 - 230 000$
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
Graph Engineer (Knowledge Graphs) (AI/ML and user modeling): Building ingestion, processing, and graph-query systems that transform diverse user data into large-scale knowledge graphs with an accent on graph algorithms, user behavior modeling, and actionable data retrieval. Focus on optimizing performance, addressing security challenges, collaborating across design and research teams, and integrating emerging AI/ML technologies.

Location: United States - Remote

Salary: $180,000–$230,000 USD per year; full compensation packages are based on candidate experience and certifications.

Company

hirify.global is an early-stage company founded in 2022 that develops intelligent technology products using automation, AI, ML, and knowledge graphs.

What you will do

  • Design and develop ingestion and processing systems for diverse user data and build user behavior and preference models in large-scale knowledge graphs.
  • Implement efficient graph query systems to provide actionable insights and data retrieval.
  • Collaborate with designers, researchers, engineers, and other stakeholders to deliver knowledge graph components for product features.
  • Identify and address performance bottlenecks, security concerns, and other technical challenges.
  • Track emerging technologies and industry trends in AI/ML integration with knowledge graphs.

Requirements

  • 5+ years of experience with systems and graph algorithms.
  • Proven experience with knowledge graphs and algorithms, including strong experience using knowledge graphs for user modeling and ingesting data from disparate sources.
  • Implementation experience with database technologies such as PostgreSQL.
  • Experience with graph query languages such as GraphQL.
  • Strong communication skills and the ability to clearly communicate vision and objectives with teams and stakeholders.
  • Strategic thinking and the ability to align design goals with key objectives and priorities.

Nice to have

  • Experience building and deploying ML models end to end.
  • Experience working with data science and ML teams to deliver products to market.
  • Startup experience.

Culture & Benefits

  • Remote work and in-person collaboration are supported, with team hubs in Austin, NYC, and the Bay Area.
  • Early-stage equity.
  • Comprehensive health insurance.
  • Generous paid time off.
  • A collaborative culture focused on productivity and creativity.

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