
Senior Machine Learning Engineer
Há 2 dias
Your Mission: To elevate advertising performance by developing scalable, production-ready machine learning systems that optimize revenue while enhancing user experience. You will collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.
Key Responsibilities:
- Develop and scale advertising algorithms that optimize engagement and revenue simultaneously.
- Apply cutting-edge machine learning 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 key performance indicators.
- Continuously improve extract, transform, and load 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 machine learning stack when they create competitive advantage.
Competencies:
- Impact-Oriented: Aligns machine learning systems to business outcomes and measures what matters.
- Technical Builder: Writes clean, production-ready code and architects scalable systems.
- Collaborative: Works seamlessly with global teams and communicates complex ideas clearly.
- Resilient & Determined: Does not shy from challenges and drives projects through to impact.
- Curious Innovator: Keeps pace with machine learning/artificial intelligence trends and creatively applies them to advertising.
- Analytical Problem-Solver: Breaks down complex systems and finds data-driven solutions.
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