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Salary
≈ $51k – $108k per year (Estimated)
Location
In office (Tokyo)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jan 9, 2026. Appier scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Appier builds machine learning software for marketing, advertising and customer engagement. Its products predict user behaviour and automate campaign decisions. The company is listed in Tokyo and serves customers across Asia.

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.

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 build identify graph to enrich unified customer profile and also identify high purchase value users to drive ROAS by machine learning model.

What You’ll Work On

  • Leverage scientific methods to build identify graph and identify high-value users
  • Drive online experiments  to continuously improve ROAS
  • 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, or related field.
  • 3+ years of industry experience on identify graph, ID mapping and cross-device mapping  in digital Ads related fields, and generate mapping and profile under large-scale data.
  • Proficiency in  Python and SQL  experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
  • Strong ownership and collaboration skills.
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