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обновлено 22 дня назад

Principal Machine Learning Scientist (AI)

242 000 - 338 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Principal Machine Learning Scientist (AI): Leading the research, design, and deployment of advanced search and recommendation AI models with an accent on generative AI, multi-modal retrieval, and large-scale ranking pipelines. Focus on architecting innovative machine learning solutions for travel search discovery to enhance traveler experience and platform performance.

Location: Must be based in San Jose, California, USA

Salary: $242,000–$338,500

Company

hirify.global powers global travel for everyone through a diverse portfolio of brands, leveraging cutting-edge technology and data-driven solutions to create memorable travel experiences.

What you will do

  • Drive research and deployment of advanced machine learning solutions for large-scale search and recommendation systems.
  • Architect hybrid multi-modal retrieval frameworks using text, image, and structured data.
  • Optimize multi-stage ranking pipelines using deep learning and generative retrieval techniques.
  • Advance personalization strategies through embeddings and context-aware algorithms.
  • Collaborate with cross-functional teams to translate complex business needs into production-ready AI solutions.
  • Mentor a team of scientists to drive research best practices and technical excellence.

Requirements

  • Must be authorized to work in the United States
  • PhD or MS in Computer Science, Machine Learning, Statistics, Engineering, or related field.
  • 10+ years of professional industry experience in machine learning.
  • Proficiency in Python and ML frameworks such as TensorFlow, JAX, or PyTorch.
  • Proven track record building production-grade search, recommendation, or personalization systems.
  • Experience with large-scale distributed systems and big data technologies like Spark or Hadoop.

Nice to have

  • Experience in the travel or e-commerce industry.
  • Contributions to open-source ML projects or top-tier conference publications.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

Culture & Benefits

  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous time-off policy, parental leave, and wellness reimbursement.
  • Exclusive travel perks, discounts, and IATAN membership.
  • Flexible work model focused on an inclusive, open, and diverse community.
  • Career development resources and ongoing support for professional growth.