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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden это заметная ML-роль в рекламе, но компания прямо предупреждает о высоком темпе, неопределённости и возможных дежурствах, что указывает на требовательную рабочую среду.
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Высокий темпДежурстваАктуальный стек MLБольшой масштаб
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Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer (Ads) (Machine Learning/Python/TensorFlow/PyTorch): Building and optimizing machine learning models for ad targeting and personalization at scale with an accent on ad relevance, performance optimization, and large-scale data analysis. Focus on developing advertising algorithms, integrating ML solutions into the ad platform, and improving ad spend efficiency through statistical methods and A/B testing.
Location: Remote - Americas
Company
hirify.global is a commerce platform helping merchants and enterprises grow their businesses through online commerce.
What you will do
Develop and optimize advanced machine learning models for ad targeting and personalization at scale.
Analyze large-scale advertising performance data to identify optimization opportunities and improve ad spend efficiency.
Collaborate with advertising teams to integrate ML solutions into the ad platform.
Research and implement algorithms and tools that improve ad relevance and effectiveness.
Document technical insights and share engineering best practices.
Participate in on-call work when required.
Requirements
Extensive experience building and deploying machine learning models for advertising systems at scale.
Strong proficiency with TensorFlow or PyTorch and expert-level Python programming skills.
Proven ability to process large-scale datasets and extract analytical insights.
Demonstrated problem-solving ability and innovative thinking in advertising technology.
Solid familiarity with advertising platforms, A/B testing methodologies, and data-driven decision-making.
Experience with statistical methods and performance optimization for ML systems.
Culture & Benefits
Digital-first working environment.
Fast-paced work with significant change, complexity, and ambiguity.
Emphasis on independence, critical thinking, resilience, resourcefulness, and embracing differences.
Opportunity to work on commerce technology used by millions of merchants across 175 countries.
Hiring process
Candidates should be prepared to interview within one week.
The interview loop is intended to be completed within 30 days.
The process includes a live pair-programming session; candidates should bring their own IDE.
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