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.
- 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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