Contribute to building scalable backend systems and participate in service operation activities to ensure reliable and high-performing distributed services.
About this role
Appier's Advertising Cloud Optimization team builds the core machine-learning algorithms behind campaign efficiency and advertiser return, on a programmatic platform that serves very large query volumes with proprietary deep-learning models. This Senior Machine Learning Scientist role in Tokyo concentrates on return on ad spend (ROAS): building an identity graph that enriches unified customer profiles and finding users with high purchase value.
The scientist applies scientific methods to identity mapping and high-value-user identification, runs online experiments to keep improving ROAS, owns projects independently, and works with product stakeholders and backend and frontend engineers to provide measurement solutions to customers.
Applicants need a master's or PhD in computer science, machine learning, statistics or a related field, and three or more years of industry experience with identity graphs, ID mapping and cross-device mapping in digital advertising, including generating mappings and profiles from large-scale data. Proficiency in Python and SQL and experience with modern ML frameworks such as PyTorch or TensorFlow are required, together with strong ownership and collaboration skills.
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