Contribute to building scalable backend systems and participate in service operation activities to ensure reliable and high-performing distributed services.
About this role
Appier hires a Senior Machine Learning Scientist for its Advertising Cloud Optimization team in Tokyo, which develops the core machine learning algorithms that drive campaign efficiency and advertiser return. The programmatic advertising platform handles multi-millions of queries per second with proprietary deep learning models for bidding, pricing and personalized content delivery.
The scientist improves bidding strategies, audience targeting and creative optimization. The work includes studying the real-time bidding ecosystem to decide the bidding strategy, applying deep learning models to improve bidding and audience models, and improving the collection of user interaction signals.
Applicants need a master's or PhD in computer science, machine learning, statistics or a related field, three or more years of industry experience in the real-time bidding ecosystem, proficiency in Python and SQL, experience with modern machine learning frameworks and deep learning models such as PyTorch or TensorFlow, and strong ownership and collaboration skills.
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