Machine Learning Engineer for Ad Performance
Há 3 dias
Ad Performance Optimization Specialist
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- The role requires developing and scaling advertising algorithms that optimize engagement and revenue simultaneously.">
- You will apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance.">
- Build scalable infrastructure to support real-time ad decisioning across millions of requests per day.">
- Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs.">
- Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery.">
- Collaborate with global teams across product, data, and engineering to launch high-impact ad features.">
- Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage.">
Key Responsibilities:
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- Develop and scale production-ready ML systems that optimize ad targeting, relevance, and efficiency at global scale.">
- Design, deploy, and refine algorithms that improve ad targeting and user experience.">
- Work with global teams to elevate ad performance by building scalable ML systems that optimize revenue while enhancing user experience.">
- Drive projects through to measurable results by breaking down complex systems and finding data-driven solutions.">
- Keep pace with ML/AI trends and creatively apply them to advertising.">
- Collaborate with global teams to launch high-impact ad features.">
- Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery.">
- Integrate emerging technologies into the ML stack when they create competitive advantage.">
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