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(Senior) Machine Learning Scientist (Modeling & Evaluation)

AppierTaipei, TaiwanScientist
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Salary
Not listed
Job type
Full-time
Experience
Senior · 2+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

Appier seeks a full-time (Senior) Machine Learning Scientist (Modeling & Evaluation) in Taipei, Taiwan to design and deploy enterprise optimization solutions. This role suits professionals with advanced academic credentials and machine learning experience who want to build production-ready artificial intelligence systems.

Role Overview

Appier is hiring a full-time (Senior) Machine Learning Scientist (Modeling & Evaluation) for the Enterprise Solution Science Team located in Taipei, Taiwan. The professional in this position handles end-to-end development, taking projects from initial problem definition to production deployment while helping enterprises generate return on investment from artificial intelligence.

Key Responsibilities

Design, develop, and deploy optimization solutions using machine learning models and evaluation methods to boost efficiency and quality.
Collaborate with product managers and engineers to translate customer needs and product goals into clear priorities, integrating validated methods into products.
Create reliable evaluation methods for large language model output to measure solution quality, impact, and real-world applicability.
Form hypotheses and design A/B tests utilizing real traffic for validation.
Track current research and industry solutions, assess them for internal application, and propose new approaches regarding what to build in-house or adopt.
Monitor launched solutions and proactively communicate progress, risks, and trade-offs.
Mentor junior scientists and interns when required.

Requirements

Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields.
Minimum of 2 years of professional experience in machine learning or engineering roles, with 5 or more years preferred.
Practical experience with machine learning models such as classification, regression, ranking, and retrieval, alongside quality evaluation methods like LLM-as-a-judge and a strong foundation in statistics.
Impact-driven mindset capable of prioritizing tasks, cross-functional collaboration, driving work forward, and highlighting risks.
Experience with AI-native development, working daily with coding agents that read codebases, run tests, and iterate while setting scope and reviewing diffs.

Nice to Have

Experience leading projects.
Ability to form hypotheses, design experiments and A/B tests, interpret results, and own conclusions.
Background in causal inference and embeddings.
Engineering experience involving AI and large language model applications such as serving and integration.

Skills and Tools

Machine learning models (classification, regression, ranking, retrieval)
Large language models and LLM-as-a-judge evaluation
A/B testing and statistics
Coding agents for AI-native development
Embeddings and causal inference
LLM serving and integration

About the Company

Appier is an artificial intelligence-native Agentic AI as a Service company founded in 2012 that empowers businesses through AdTech and MarTech solutions. The company provides Ad Cloud, Personalization Cloud, and Data Cloud powered by Agentic AI for autonomous, adaptive, and real-time decision-making. Appier operates 17 offices across the Asia-Pacific region, the United States, and Europe, and is listed on the Tokyo Stock Exchange.

How to Apply

Interested candidates should visit the official company careers page to submit an application.

Skills and tech stack

Machine LearningLLMAILLM-as-a-judge

Questions candidates ask

Where is the (Senior) Machine Learning Scientist role located?

The position is based in Taipei, Taiwan, at Appier's office.

What educational background is required for this position?

Applicants must hold a Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.

How many years of experience are needed to apply?

The role requires at least 2 years of experience in machine learning or engineering roles, though 5 or more years of experience is preferred.

What is AI-native development in the context of this job?

It involves working daily with coding agents that read the codebase, run tests, and iterate independently while the scientist sets the scope and reviews the generated diffs.

Is leadership experience mandatory?

Project leadership experience is listed as a preferred qualification rather than a strict minimum requirement.

Ready to apply?

The application is on the official Appier careers page.

Apply on company site