Tokyo, Japan
Open 7 months, first seen by us 229 days agoBuild an identify graph to enrich unified customer profiles
Build machine learning models that identify high-value users to drive ROAS
Run online experiments to continuously improve ROAS
Own projects independently
Partner with product, backend and frontend teams on measurement solutions for customers
build identify graph to enrich unified customer profile
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.
3+ years of industry experience on identify graph, ID mapping and cross-device mapping
Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field.
Proficiency in Python and SQL
experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
Strong ownership and collaboration skills.
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.
Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making.
In the employer’s words · Read in context
Open 7 monthsWe first saw this posting 229 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 229
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Appier’s usual: its jobs come down by about day 77.
From 4,448 similar postings that came down, and 10 of Appier’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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
What We’re Looking For
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Tokyo, Japan
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