About the job
About Appier
Appier is a pioneering software-as-a-service (SaaS) organization dedicated to leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices across the Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Explore more at www.appier.com.
Your Impact at Appier
We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team spearheads the development of core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second (QPS), all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you will play a vital part in boosting the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring system robustness and scalability in a fast-paced market environment.
Key Responsibilities
- Design, implement, and launch cutting-edge ML models to optimize campaign outcomes.
- Analyze extensive user and auction data to uncover predictive patterns and alpha signals that improve bidding and personalization strategies.
- Work collaboratively with engineering, product, and data teams to identify opportunities, outline roadmaps, and deliver impactful solutions.
- Continuously enhance system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; Master’s or PhD preferred.
- 4+ years of experience in ad tech, focusing on performance optimization.
- Demonstrated expertise in applied machine learning, particularly in CTR prediction and recommendation systems.
- Proficiency in Python and experience with relevant machine learning frameworks.
