About the job
Join Appier as a Senior Machine Learning Scientist!
Appier, an innovative leader in AI-native solutions, is dedicated to transforming business decision-making through advanced artificial intelligence. Established in 2012, our goal is to democratize AI, enabling companies to achieve a high return on investment through intelligent software solutions. With a presence in 17 offices across the Asia-Pacific, Europe, and the U. S., we are publicly listed on the Tokyo Stock Exchange (Ticker: 4180). Learn more about us at www.appier.com.
Visa Sponsorship for International Candidates
This role is located in Tokyo, Japan. For overseas applicants, Appier offers visa sponsorship to facilitate your relocation.
Your Impact at Appier
As a Senior Machine Learning Scientist, you will join our Advertising Cloud Optimization team, spearheading the development of vital machine learning algorithms that enhance campaign performance and maximize advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second, all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you will significantly influence the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring robust system performance in a fast-paced market.
Your Responsibilities
- Architect, implement, and deploy cutting-edge machine learning models to optimize campaign results.
- Examine extensive user and auction datasets to uncover predictive patterns and alpha signals that improve bidding and personalization.
- Collaborate with cross-functional teams in engineering, product, and data to identify opportunities, establish roadmaps, and deliver impactful solutions.
- Continuously enhance system performance through offline experimentation and online testing methodologies (e.g., A/B tests, incremental learning).
Qualifications We Seek
- A Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; a Master’s or PhD is preferred.
- Minimum of 4 years of experience in the ad tech industry, focusing on performance optimization and machine learning applications.
