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Appier

Machine Learning Scientist

Taipei, Taiwan

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hirly's read of this role

Seniority
Mid level
Country
TW
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About Appier

Appier is a software-as-a-service (SaaS) 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.

About the role

As a Machine Learning Scientist in Appier, you will be contributing to Appier’s research in actual use case for our products.

Responsibilities

Use machine learning and analytical techniques to build prediction model for advertising/enterprise solutions.

Experience in analyzing and extracting valuable information from large amounts of business data

Design, develop and test advanced models for predictive consumer behavior

Co-operate with software engineering teams to drive real-time model implementations and new feature creations

Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation

Research and evaluate pioneering machine learning and statistical model

About you

[Minimum qualifications]

Master or Ph.D. in Computer Science, Machine Learning, Math or Statistics. (Familiar with probabilistic model predictive models)

Solid experience in system design and programming, ability to work with big data with minimal engineering support

3+ year experience in data mining, algorithms, statistical analysis, computational NLP and/or machine learning

Proven ability of solving challenging problems in both academia and industry

Extensive publication experience

Self-motivation and an ability to priorities multiple competing challenges in a fast-growth environment

Thinking about thinking; meta-cognition

Applying past knowledge to new situations; remain open to continuous learning

Thinking and communicating with clarity and precision

[Preferred qualifications]

Excellent presentation skill to articulate product ideas to technical/non-technical audience

Original posting on Appier's site ↗

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