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Machine Learning Scientist

As a Machine Learning Scientist at Appier, you will contribute to research for product use cases, focusing on building prediction models for advertising/enterprise solutions. Your responsibilities include analyzing large datasets, designing advanced predictive models, and collaborating with engineering teams for real-time implementations.

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

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

Skills

Machine LearningAnalytical TechniquesPrediction ModelData AnalysisPredictive Consumer BehaviorStatistical ModelSystem DesignProgrammingBig DataData MiningAlgorithmsStatistical AnalysisComputational NLPProbabilistic Model Predictive Models

DepartmentResearch

LocationTaipei, Taiwan

Experience3+ years

Tenurefull-time

LevelMid-Level

Posted June 2, 2026

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

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