Senior Machine Learning Scientist (Ads incrementality) - Tokyo
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
- Use scientific approaches to strengthen how ads are measured across traffic, creative and user groups
- Run online tests to improve advertising results and campaign efficiency
- Build machine learning models and AI automation to focus campaigns on combinations with strong incremental impact
- Lead your projects independently and work with product, backend and frontend teams on customer measurement solutions
What you bring
- A master’s or doctoral degree in computer science, machine learning, statistics, econometrics or a related area
- At least three years applying causal inference, incrementality or another listed measurement method to digital advertising
- Practical Python and SQL skills, plus experience with a modern ML framework such as PyTorch or TensorFlow
- Fluency in either English or Chinese
Who this fits
This senior role suits someone who can take measurement projects from start to finish and collaborate across product and engineering. The position is based in Tokyo, 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 measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.
What You’ll Work On
- Leverage scientific methods to improve ads measurement.
- Drive online experiments to continuously improve ads effectiveness.
- Own the project independently.
- Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.
What We’re Looking For
- Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
- 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
- Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills.
Language
Fluent in English or Chinese.