aipythondata analysisdata scienceoptimizationmachine learningexperimentationbidding systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$188к-235к/год
$190к$220кмедиана$260к
По похожим ролям (49) ~ $220к/год
На СНГ рынке: $4.4к/мес ($3.8к - $5.6к)
86
Хорошая вакансия
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Это хорошо очерченная senior-роль в продуктовой AI-компании с работой над крупными рекламными системами и хорошим пакетом льгот, но обязательный офис ограничивает гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Applied Scientist, Product (AI): Improving an AI-native advertising platform through deep analysis of ad auction and user interaction data, campaign health metrics, and machine learning system evaluation with an accent on bidding systems, experimentation, and product analytics. Focus on diagnosing complex system drivers, implementing and evaluating algorithms, and improving the reliability, latency, and efficiency of online prediction and decision systems.
Location: Menlo Park, California, United States, or Seattle, Washington, United States; office-based role.
Base pay: $188,000–$235,000 for Region A, $169,200–$211,500 for Region B, or $159,800–$199,750 for Region C, plus possible bonus and equity awards.
Company
hirify.global is an AI-native performance advertising company operating hirify.global Ads and hirify.global Commerce Media, powered by the CARA compound AI system.
What you will do
Conduct deep-dive analyses of large ad-auction and user-interaction datasets to extract signals, guide R&D decisions, and improve customer outcomes.
Build campaign-health metrics and analyze cause-and-effect relationships across system drivers.
Evaluate internal and external advertising-system components through input/output metrics and diagnose system issues.
Identify infrastructure and machine-learning improvement opportunities and recommend useful next steps.
Implement and evaluate algorithms and features with applied scientists, software engineers, and machine-learning engineers.
Improve the reliability, latency, and efficiency of online prediction and decision systems through experimentation, monitoring, and model refinement.
Requirements
Advanced degree in Computer Science, Mathematics, or a related field, or industry experience optimizing market prices or machine-learning systems.
At least 4 years of engineering or applied science experience.
Proficient verbal and written English communication skills, including contributing to presentations and reports.
Ability to quickly understand new information and learn technical skills across engineering, machine learning, and data science.
Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company.
Culture & Benefits
U.S.-based employees receive medical, dental, and vision insurance, a 401(k) plan with company match, disability coverage, life insurance, and well-being benefits.
U.S.-based employees receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter; all employees receive Flexible Time Off.
Possible bonus and equity awards are determined by performance and applicable plan terms.
Values include humility, continuous growth, creating real customer value, and proactive collaboration.
Hiring process
Interview participation must follow the AI Use in Interviews Policy; candidates should not use AI assistance unless a round specifically assesses AI.
Applicants acknowledge that they have reviewed the Candidate Privacy Notice.
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