# Senior Machine Learning Scientist (Ad Cloud, RTB) - Tokyo,Japan at Appier

> Japan · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aappier%3A7906487 (read 2026-11-08).

## Facts (observed)

- Company: [Appier](https://alderhq.app/companies/appier)
- Location text: Tokyo, Japan; Tokyo, Japan
- Where it can be done from (inferred): Japan (evidence: "Location: Tokyo, Japan; Tokyo, Japan")
- Posted: 2026-05-08 (185 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-06
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/appier/jobs/7906487
- Skills listed (inferred): Python, SQL, PyTorch, TensorFlow

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### 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.
#LI-AK1

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aappier%3A7906487 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.