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7 часов назад

Senior Machine Learning Engineer (AI)

170 000 - 200 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
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

Senior Machine Learning Engineer (AI): Designing, training, and deploying cutting-edge ML models for conversational voice intelligence with an accent on model performance, reliability, and scalability. Focus on translating business needs into production-grade ML solutions and improving voice understanding capabilities.

Location: Must be located anywhere in the U.S. (Hybrid options in Somerville, MA)

Salary: $170,000–$200,000

Company

hirify.global is a leader in conversational voice intelligence building a Conversation Intelligence Platform to help enterprises understand voice communication at scale.

What you will do

  • Design, train, and deploy ML models for production applications.
  • Collaborate with research and product teams to define and execute ML initiatives.
  • Conduct experiments to optimize model quality, accuracy, and robustness.
  • Partner with infrastructure teams to operationalize and monitor ML systems.
  • Analyze performance and identify opportunities for system improvement.
  • Mentor teammates and contribute to the overall technical strategy.

Requirements

  • Must be based in the United States.
  • Experience shipping ML models to production.
  • Proficiency with Python and PyTorch.
  • Strong ability to design experiments and evaluate model performance.
  • Ability to work across research and engineering disciplines.

Nice to have

  • Experience with audio models, ASR, TTS, or speaker modeling.
  • Knowledge of AWS and large-scale MLOps infrastructure.
  • Background in fast-paced startup environments.
  • Experience publishing research in papers or conferences.

Culture & Benefits

  • Competitive salary and equity.
  • Comprehensive health, dental, and vision insurance (including HSA and FSA).
  • Flexible PTO and a culture of taking time off.
  • Hybrid work options with a work-from-anywhere policy for up to 8 weeks per year.
  • Weekly team lunches and professional development support.

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