Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$274к-370к/год
$210к$240кмедиана$260к
По похожим ролям (50) ~ $240к/год
На СНГ рынке: $4.1к/мес ($3.6к - $5.6к)
91
Крутая вакансия
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Чётко очерченная роль principal-уровня в известной продуктовой компании сочетает практическую работу с AI и лидерство в реализации, а базовая зарплата выше рыночного ориентира; главный компромисс - работа только из офиса.
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Только офисЗарплата выше рынкаСовременный стекПонятная рольФинтех-продукт
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal AI Scientist (AI): Building and deploying machine learning models for marketing audiences, brand management, generative engine optimization, price optimization, creative generation, and digital twins with an accent on foundational methods, analytical algorithms, and deep learning. Focus on leading AI science teams, shaping multi-year product and technology strategy, driving ML platform architecture, and integrating rigorous ML solutions into critical business projects.
Location: Mountain View, California, United States
Base pay range: $273,500–$369,500 per year
Company
hirify.global is a financial technology platform serving customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
Build and deploy machine learning models using analytical algorithms and deep learning.
Lead work across machine learning, NLP, statistics, and optimization while contributing hands-on expertise.
Create capabilities for marketing audiences, brand management, generative engine optimization, price optimization, creative generation, and digital twins.
Develop foundational ML methods and novel applications based on current technologies and industry trends.
Shape multi-year product and technology strategy, ML platform architecture, and critical business projects.
Lead teams and partners through the 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 AI science or in AI science management.
Expert hands-on knowledge in one or more of machine learning, NLP, statistics, or optimization.
6+ years of experience working with large datasets and databases, and 6+ years with a general-purpose programming language such as Python or Scala.
Expert experience with ML pipelines, processes, and design patterns.
Strong executive-level communication, influence, leadership, and team delivery experience; marketing platform or media management experience is required.
Nice to have
Background in cognitive sciences or human psychology, including consumer, buyer, supporter, detractor, or group behavioral sciences.
Culture & Benefits
Collaborative and creative environment for AI scientists and machine learning engineers.
Competitive compensation with performance-based rewards.
Potential eligibility for cash bonus, equity rewards, and employee benefits according to applicable plans.
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