Deskripsi Pekerjaan
About the Role
Shopee is the leading e-commerce platform in Southeast Asia and Taiwan. Our mission is to connect people, businesses, and communities through technology. The Shopee Ads team is at the heart of this mission, driving commercial growth across e-commerce, video, gaming, and other diverse scenarios through a cutting-edge, AI-powered advertising ecosystem. As an Advertising Algorithm Engineer - Paid Ads, you will be instrumental in building and optimizing the core algorithms that power our massive-scale paid advertising platform. You will own critical components of the ad serving pipeline, from CTR/CVR prediction and ad ranking to real-time bidding (RTB) strategies and budget pacing. This is a high-impact role where you will directly influence key business metrics.
What You Will Do
You will work with a talented, multidisciplinary team of engineers, researchers, and product managers, leveraging petabytes of data and state-of-the-art infrastructure. You will have the autonomy to explore new ideas, run rigorous experiments, and see your innovations go live, making a tangible difference in the lives of millions of shoppers and sellers. If you are passionate about algorithmic challenges and eager to shape the future of e-commerce advertising, Shopee is the place for you.
Tanggung Jawab
- Design and develop state-of-the-art machine learning models for CTR prediction, CVR prediction, and ad quality scoring.
- Optimize real-time bidding (RTB) engines and auction mechanisms to balance advertiser performance and platform revenue.
- Build large-scale, low-latency serving infrastructure for model inference and feature engineering.
- Conduct deep analysis on massive datasets (user behavior, ad interactions) to derive actionable insights for algorithm improvement.
- Collaborate with cross-functional teams (Product, Engineering, Business Development) to define product requirements and drive technical roadmaps.
- Implement and enhance budget delivery and pacing algorithms for efficient ad spend utilization.
- Design and analyze A/B experiments to rigorously evaluate the impact of model and system changes.
Kualifikasi
- Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. PhD strongly preferred.
- Deep expertise in machine learning, data mining, and statistical modeling techniques.
- Strong programming skills in C++ and Python.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch, MXNet).
- Experience in developing large-scale production systems for advertising, search, or recommendation systems.
- Strong understanding of real-time bidding, online advertising ecosystems, and marketplace dynamics.
- Excellent analytical and problem-solving skills, with the ability to work independently and in a team environment.