4 дня назад
Senior Algorithm Engineer (Performance Advertising)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Algorithm Engineer (Performance Advertising): Building and optimizing machine learning and optimization systems for mobile app-install advertising with an accent on ad ranking, conversion prediction, and bidding. Focus on improving ROAS-driven user acquisition and solving complex optimization challenges at scale.
Company
is a global technology company that develops browser products used by hundreds of millions of users worldwide.
What you will do
- Design, develop, and optimize ML models for ad ranking, conversion prediction, and bidding.
- Build solutions for mobile app-install advertising, post-install event optimization, and ROAS-driven campaigns.
- Improve campaign delivery, budget allocation, and advertiser performance through data-driven optimization.
- Design and execute online A/B tests to measure the impact of algorithmic improvements.
- Collaborate with Product, Engineering, and Data teams to translate business objectives into scalable ML solutions.
Requirements
- Degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
- 5+ years of experience developing machine learning, ranking, recommendation, or advertising systems.
- Hands-on experience with mobile app-install advertising and performance marketing platforms.
- Strong programming skills in Python, C++, Java, or Go.
- Experience deploying models into large-scale, production-grade online serving environments.
Nice to have
- Deep understanding of CTR/CVR prediction, auction optimization, and budget pacing.
- Familiarity with RTB systems, LTV modeling, and ROAS optimization.
- Experience building ML solutions for high-throughput, low-latency environments.
- Professional background in AdTech, gaming, e-commerce, or recommendation platforms.
Culture & Benefits
- Opportunity to solve challenging ML problems at scale for a massive global user base.
- Flat organizational structure with fast decision-making.
- Environment where engineers are empowered to take ownership and drive innovation.
- Collaborative and diverse team culture focusing on continuous learning.
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