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3 часа назад

Staff Machine Learning Engineer (AI)

118 400 - 171 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff Machine Learning Engineer (AI): Designing, building, and scaling production-grade machine learning and AI systems to power conversational analytics and automation with an accent on MLOps, semantic data modeling, and LLM integration. Focus on delivering high-impact AI-powered data products and providing technical leadership across engineering teams.

Location: Must be based in the USA

Salary: $118,400–$171,000

Company

hirify.global provides a client experience platform for appointment-based, self-care businesses like salons and spas.

What you will do

  • Design and deploy production-grade ML and AI systems for customer-facing analytics and automation.
  • Develop end-to-end ML workflows including data preparation, feature engineering, training, and monitoring.
  • Build scalable AI solutions using LLMs, embeddings, recommendation systems, and forecasting models.
  • Evolve semantic data models to ensure accurate and scalable analytics across the organization.
  • Mentor engineers and influence architecture and engineering standards.

Requirements

  • Must be based in the USA
  • 7+ years of experience in Data Engineering and Machine Learning roles.
  • 3+ years of experience building and operating ML systems in production.
  • Strong programming skills in Python and SQL.
  • Experience with cloud data platforms like Snowflake or Databricks.
  • Deep understanding of MLOps, data modeling, and CI/CD for ML workloads.

Nice to have

  • Experience with Snowflake Cortex.

Culture & Benefits

  • 401(k) match with comprehensive health, dental, and vision insurance.
  • Flexible vacation policy.
  • Fully remote work environment with a monthly work-from-home stipend.
  • Equity participation.
  • Family planning resources and specialized support programs.
  • Learning and development program to explore the self-care industry.

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