Staff/Senior Machine Learning Scientist (Ad Cloud)
Salary not listed • Taipei, Taiwan • Full-time
Posted 1y ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Appier is seeking a Senior Machine Learning Scientist to join their Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that enhance campaign efficiency and advertiser ROI on a large-scale programmatic advertising platform. The role involves improving models for bidding, pricing, and personalized content delivery, ensuring system robustness and scalability in a dynamic market.
Responsibilities
- Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
- Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
- Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
- Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).
Requirements
- Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
- 4+ years of industry experience in ad tech, with a focus on performance optimization.
- Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
- Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
- Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference) is a bonus.