Deskripsi Pekerjaan
ByteDance is seeking an exceptional Ad Delivery Algorithm Engineer to join our dynamic team in Singapore. In this role, you will play a pivotal part in shaping the future of global gaming advertisement delivery. Our mission is to connect users with digital experiences they love, and as an algorithm engineer, you will design the high-performance engine that makes this possible.
You will work on large-scale machine learning systems, optimizing CTR/CVR models, budget pacing, and real-time bidding strategies specifically tailored for the fast-growing gaming sector. At ByteDance, you will have the unique opportunity to solve complex, high-impact challenges using cutting-edge deep learning techniques on a global scale. If you are passionate about recommendation systems, computational advertising, and driving massive business impact, we want to hear from you!
Tanggung Jawab
- Design, implement, and optimize core algorithms for gaming advertisement delivery, focusing on CTR, CVR, and deep conversion rate prediction models.
- Develop and refine intelligent bidding strategies, budget pacing mechanisms, and ROI optimization algorithms to maximize value for gaming advertisers.
- Mine and analyze massive behavioral datasets to uncover user insights and drive continuous algorithmic enhancements.
- Formulate and execute robust A/B testing methodologies to validate new models, analyze experimental results, and drive iterative improvements.
- Partner closely with product, engineering, and cross-functional teams to integrate algorithms into high-performance, real-time production environments.
- Research and apply state-of-the-art machine learning techniques, including reinforcement learning and graph neural networks, to gaming ad delivery.
Kualifikasi
- Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, or a highly quantitative field.
- Strong programming foundations in C++, Python, or Java, with deep knowledge of data structures and algorithms.
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and big data platforms (Spark, Hadoop, Hive).
- Solid understanding of computational advertising concepts, including recommendation algorithms, search engines, or ad-tech platforms.
- Demonstrated experience in machine learning, mathematical optimization, or statistical modeling.
- Excellent analytical and problem-solving skills, with a track record of translating complex business problems into elegant technical solutions.