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Principal AI Scientist

244 000 - 330 000$
Формат работы
onsite
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
Principal AI Scientist (Machine Learning/NLP): Building and deploying machine learning models that solve critical business problems and directly affect customers, with an accent on deep learning, statistical methods, and optimization. Focus on developing foundational ML methods, shaping multi-year technology strategy, and leading the architecture and delivery of integrated ML solutions.

Location: San Diego, California, United States

Salary: $244,000–$330,000 annual base pay, plus potential cash bonus, equity rewards, and benefits.

Company

Global financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Build and deploy machine learning models using analytical algorithms and deep learning approaches.
  • Lead work across machine learning, NLP, statistics, or optimization while contributing hands-on expertise.
  • Develop foundational ML methods and novel applications based on state-of-the-art technologies and industry trends.
  • Create capabilities that address critical business problems and influence mission-critical project direction.
  • Shape multi-year technology strategy and contribute to ML platform architecture decisions.
  • Lead teams and partners through the successful delivery and integration of ML solutions, including design reviews and technical mentoring.

Requirements

  • PhD or MS in engineering mathematics, statistics, theoretical or computational physics, or a related field.
  • 3+ years of experience as a lead in an AI science role or in AI science management.
  • Expert hands-on knowledge of at least one of machine learning, NLP, statistics, or optimization.
  • 6+ years of experience working with large datasets and databases, plus 6+ years with a general-purpose programming language.
  • Expert experience with ML pipelines, processes, and design patterns.
  • Strong leadership, communication, presentation, and executive-level influencing skills.

Culture & Benefits

  • Collaborative and creative environment for AI scientists and machine learning engineers.
  • Competitive compensation with pay-for-performance rewards.
  • Eligibility for cash bonus, equity rewards, and employee benefits.
  • Regular pay equity comparisons across ethnicity and gender categories.

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