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1 день назад

Staff Machine Learning Engineer (AI)

288 000 - 330 000$
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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Описание вакансии

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TL;DR

Staff Machine Learning Engineer (AI): Building and optimizing advanced ML models that predict customer behaviors in real-time for a personalized AI marketing platform, with an accent on developing scalable systems and data-driven products. Focus on leading cross-functional machine learning projects and implementing end-to-end modeling use cases.

Location: Remote (US-based only)

Salary: $288,000–$330,000 annually + equity + benefits

Company

hirify.global is an AI marketing platform for 1:1 personalization that redefines how brands and people connect.

What you will do

  • Contribute to the development of machine learning models and infrastructure needs across the hirify.global platform.
  • Work with Product Management and Engineering to implement end-to-end modeling use cases.
  • Build systems that maintain a high bar of quality and proactively protect against regressions.
  • Constantly improve the quality of projects via direct contributions and long-term advocacy.
  • Lead cross-functional machine learning projects across teams.

Requirements

  • 6+ years of professional experience building systems, with 10+ years ideal.
  • Proficiency with Python.
  • Extensive experience using machine learning and data analysis to build scalable systems and data-driven products.
  • Proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
  • Experience with TensorFlow/PyTorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools.
  • Must be eligible to work in the United States.

Culture & Benefits

  • Competitive perks and benefits, including health & wellness and equity.
  • High-growth career opportunity to work with talented machine learning engineers.
  • Distributed global workforce with employee hubs in New York City, San Francisco, London, and Sydney.
  • Company Values: Default to Action, Be One Unstoppable Team, Champion the Customer, Act Like an Owner.

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