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3 часа назад

Machine Learning Scientist II (AI)

112 000 - 196 000$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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 Scientist II (AI): Developing state-of-the-art machine learning algorithms to enhance customer experience across post-booking recommendations, customer service, and trip management with an accent on prediction and optimization problems. Focus on solving complex inference challenges from long-tail data, multi-objective optimization, and integrating GenAI/LLM technologies to personalize the traveler journey.

Location: Must be based in Seattle, WA or San Jose, CA

Salary: $112,000 – $196,000

Company

hirify.global is a global travel company that connects travelers, partners, and advertisers through consumer brands like Expedia, Hotels.com, and Vrbo.

What you will do

  • Take ownership of the end-to-end ML lifecycle, from ideation and research to production deployment and monitoring.
  • Design and analyze A/B tests to validate models and quantify business impact for future iterations.
  • Collaborate with product managers, engineers, and business stakeholders to define requirements and communicate technical findings.
  • Develop core algorithms for post-booking recommendations and customer service to anticipate traveler needs.
  • Apply AI/ML concepts to real-world products, ensuring scalability and operational excellence.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field.
  • 1+ years of relevant professional experience in machine learning.
  • Strong programming skills in Python (pandas, scikit-learn, PySpark) and proficiency in SQL.
  • Proven ability to design end-to-end ML solutions, including feature engineering and evaluation strategies.
  • Authorized to work in the US (E-Verify participant).

Nice to have

  • MS or PhD in a quantitative field (Computer Science, Economics, Statistics, Physics).
  • 2+ years of hands-on industry experience deploying models in production.
  • Experience with reinforcement learning, GenAI, or LLM technologies.
  • Domain knowledge in e-commerce, recommendation systems, or customer service.
  • Ability to translate academic research papers into improved model designs.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Paid time off and Employee Assistance Program.
  • Wellness and travel reimbursement.
  • Travel discounts and IATAN membership.
  • Supportive environment based on behaviors like Traveler First and Ownership Mindset.

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