Senior Machine Learning Scientist (Ad Cloud, RTB) - Tokyo,Japan
At a glance
Senior AI Research role at Appier. Tokyo.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Study the RTB ecosystem and use what you find to shape bidding strategy
- Apply deep learning to raise the performance of bidding and audience models
- Work with other teams to strengthen real-time and long-term user interaction signals for model improvement
What you bring
- A master's or doctoral degree in computer science, machine learning, statistics or a related discipline
- At least three years working in the RTB ecosystem
- Python and SQL skills, plus hands-on use of modern machine learning frameworks such as PyTorch or TensorFlow
Who this fits
This senior role suits someone with RTB experience who can take ownership and collaborate across teams. The job is based in Tokyo, Japan, and visa sponsorship is available for international candidates.
From the employer
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.