Senior Machine Learning Scientist - Advertising Cloud Optimization

Appier Japan
Visa Sponsorship
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AI Summary

Lead development of core machine learning algorithms for programmatic advertising platform. Design and implement bidding strategies, audience targeting, and creative optimization using deep learning models. Collaborate with cross-functional teams to enhance real-time user interaction signals and model performance.

Key Highlights
Develop deep learning models for bidding, pricing, and personalized content delivery
Work with RTB ecosystem including SSP/DSP/MMP to improve campaign efficiency
Handle massive scale operations with multi-millions queries per second
Collaborate with teams to improve user signal collection and model performance
Key Responsibilities
Deep-dive the RTB ecosystem to identify potential direction and decide bidding strategy
Leverage advanced deep learning models to improve bidding and audience model performance
Co-work with teams to improve real-time and long-term user interaction signal collection
Technical Skills Required
Python SQL PyTorch TensorFlow
Benefits & Perks
Visa sponsorship available

Job Description


About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model

What You’ll Work On

  • Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy
  • Leverage advance deep learning model to improve bidding/audience model performance
  • Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance

What We’re Looking For

  • Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field.
  • 3+ years of industry experience on RTB ecosystem
  • Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.).
  • Strong ownership and collaboration skills.


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