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2 часа назад

Data Engineer (AI)

180 000 - 250 000$
Формат работы
onsite
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

Data Engineer (AI): Building and scaling hirify.global’s internal data platform for mission-critical inference with an accent on data models, pipelines, and analytics infrastructure. Focus on transforming raw product and business data into reliable datasets that power decision-making across various teams.

Location: San Francisco; New York

Salary: $180K – $250K

Company

hirify.global powers mission-critical inference for the world's most dynamic AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling.

What you will do

  • Design and maintain core data models and semantic layers.
  • Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks.
  • Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools.
  • Define and maintain company-wide metrics across product usage, performance, and customer lifecycle.
  • Enable self-service analytics through agents and tools, with well-structured semantic layers and context.
  • Ensure data reliability and quality through testing, documentation, and governance.

Requirements

  • Understanding of inference metrics such as latency, throughput, token usage, and model performance.
  • Experience supporting B2B SaaS and/or consumption-based platforms.
  • Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes.

Culture & Benefits

  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents.
  • Generous PTO policy including company-wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave.
  • Company-facilitated 401(k).
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

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