Tokyo, Japan
Open 6 months, first seen by us 181 days agoAnalyze the RTB ecosystem to set bidding strategy
Improve bidding and audience models with advanced deep learning
Work with teams on real-time and long-term user interaction signals
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
3+ years of industry experience on RTB ecosystem
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 and deep learning model (PyTorch, TensorFlow, etc.).
modern ML frameworks and deep learning model (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 RTB ecosystem
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 6 monthsWe first saw this posting 181 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 181
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 4,444 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 RTB ecosystem - Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (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.
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.
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
What We’re Looking For
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Tokyo, Japan
Working pattern and location restrictions need checking in the full posting.
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