Job Description
ByteDance, the global creator of platforms that inspire creativity and enrich life, is seeking a talented Ad Delivery Algorithm Engineer to join our Game Advertising team in Singapore. In this role, you will design, implement, and optimize cutting-edge algorithms that power real-time ad delivery across our gaming portfolio, ensuring maximum relevance, viewability, and revenue while maintaining a seamless user experience.
You will collaborate with cross-functional teams of data scientists, product managers, and engineers to translate business goals into scalable technical solutions. Your work will directly impact the performance of ad campaigns for some of the world's most popular games, leveraging machine learning, large-scale data processing, and real-time bidding systems.
If you are passionate about pushing the boundaries of ad technology, thrive in a fast-paced environment, and want to make a measurable impact on a global scale, we invite you to apply.
Responsibilities
- Design and develop real-time ad delivery algorithms for gaming advertisements.
- Optimize bidding strategies and pacing algorithms to maximize ROI and fill rates.
- Build scalable services handling millions of requests per second with low latency.
- Conduct A/B experiments and analyze performance metrics to drive continuous improvement.
- Collaborate with data scientists to integrate machine learning models into production pipelines.
- Ensure system reliability, monitoring, and troubleshooting in a distributed environment.
- Stay current with industry trends in ad tech, programmatic buying, and gaming monetization.
Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, or related field.
- 3+ years of experience building large-scale ad tech or recommendation systems.
- Strong proficiency in algorithms, data structures, and statistical modeling.
- Hands-on experience with programming languages such as C++, Java, or Python.
- Familiarity with real-time bidding, RTB protocols, and ad serving architectures.
- Experience with distributed systems, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to communicate technical concepts to cross-functional stakeholders.