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Appier

Staff/Senior Machine Learning Scientist (Ad Cloud) - Tokyo,Japan

Appier · Tokyo, Japan

Posted about 2 months ago

or apply directly on Appier's site. We never take the application ourselves.

Is this posting real?

This role has been open
65 days
Appier's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Appier's roles list one
Ghost-job risk at Appier
high
66 stale, 0 reposted of 74 open
Hiring momentum
101 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Appier's own greenhouse board since 2026-08-03. Full hiring picture for Appier.

About this role

As a Senior Machine Learning Scientist at Appier, you will focus on enhancing the efficiency and profitability of advertising campaigns through the development and implementation of advanced machine learning models. Your work will involve analyzing large-scale data to identify patterns that improve bidding and personalization, collaborating with various teams, and continuously optimizing system performance through experimentation.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Appier as an employer.

What you need

  • Bachelor’s degree in Computer Science, Mathematics, EE, or related field
  • 4+ years of industry experience in ad tech, with a focus on performance optimization
  • Proven experience in applied machine learning, especially in CTR prediction and recommendation systems
  • Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
  • Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering

Nice to have

  • Master’s or PhD preferred
  • Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference)

Worth weighing

  • The role involves working with high-scale systems, which may require handling complex challenges.
  • No specific salary or benefits mentioned in the posting.
  • The focus on ad tech may limit exposure to other areas of machine learning outside of advertising.

Summarised from Appier's posting. Read the full original.

Listed by Appier on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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