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2 дня назад

Machine Learning Engineer III (AI)

136 200 - 240 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Machine Learning Engineer III (AI): Developing data and AI-driven automated solutions for enterprise payroll and HR platforms with an accent on predictive analytics and intelligent agent technologies. Focus on building production-grade ML models, feature engineering, and scaling AI systems to support millions of users.

Location: Must be based in the USA. This is a hybrid role requiring at least 50% of time spent in the office or in the field per quarter.

Salary: $136,200–$240,000 USD (based on location and experience).

Company

hirify.global is a Fortune 500 company and a leading AI platform for managing people, money, and agents.

What you will do

  • Develop and deploy AI-driven solutions for enterprise payroll and HR processes.
  • Collaborate with product managers and software engineers to deliver predictive analytics and recommendations.
  • Own data exploration, transformation, and feature engineering for ML models.
  • Design and enhance ML frameworks within a production-grade AI environment.
  • Apply GenAI and multi-agent systems to solve complex customer challenges at scale.

Requirements

  • 5+ years of experience in data science or machine learning software development.
  • 3+ years of experience using Python, PyTorch, or TensorFlow.
  • 2+ years of experience in ML, deep learning, NLP, GenAI, or multi-agent systems.
  • Strong background in productizing machine learning algorithms and handling large-scale datasets.
  • Must be authorized to work in the USA.

Culture & Benefits

  • Flexible work approach combining in-person collaboration and remote work.
  • Comprehensive benefits package including health insurance and retirement plans.
  • Annual bonus plan and stock grant eligibility.
  • Culture rooted in integrity, empathy, and shared enthusiasm.
  • Investment in professional development and skill growth.

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