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2 часа назад

Machine Learning Engineer

135 000 - 280 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US/Canada
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
Machine Learning Engineer (Python/ML): Building forecasting interfaces, data pipelines, inference servers, and scheduling systems that optimize support-agent capacity with an accent on statistical modeling, algorithmic optimization, and MLOps. Focus on predicting contact volume, scheduling thousands of agents under business and labor constraints, and improving model and runtime performance.

Location: Remote in the United States or Canada

Salary: $135,000–$280,000 annual base pay, plus stock options and benefits.

Company

hirify.global provides a unified platform for coordinating human customer-support agents, BPOs, and AI through workforce management, AI Agents, and AI Copilot products.

What you will do

  • Develop forecasting interfaces, data pipelines, and inference servers to predict customer-support contact volume.
  • Build systems that determine the optimal number of support agents needed for specific days and times.
  • Design interfaces for collecting and storing team preferences and customer business constraints.
  • Implement scheduling algorithms for teams of thousands of support agents.
  • Improve machine-learning operations to enable rapid model deployment and iteration.

Requirements

  • Experience with Python libraries including pandas, SciPy, and seaborn for statistical or predictive work.
  • Previous experience on a machine-learning or algorithmic team.
  • Strong focus on improving statistical and runtime performance.
  • United States applicants must be authorized to work in the United States; employment authorization is verified through E-Verify.
  • United Kingdom applicants must have the right to work in the UK.

Culture & Benefits

  • Stock options are included in the compensation package.
  • Medical, financial, and other benefits vary by position.
  • Inclusive workplace focused on diverse perspectives and belonging.
  • Backed by NEA, Emergence Capital, and Stripe.

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