Appier
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About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
About the role
We are looking for a Machine Learning Scientist Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.
[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]
Responsibilities
- Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
- Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
- Stay up to date with the latest research and proactively propose innovative applications.
About you
[Minimum qualifications]
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
- 2+ years of experience in ML or LLM.
- Proficient in Python.
- Proficient in one of the below
1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
2.LLM applications development techniques: RAG, agent, chatbots. - Able to evaluate models with systematic and quantitative analysis.
- Strong data intuition and familiarity with basic statistical concepts.
[Preferred qualifications]
- Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
- Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.
#LI-AK1
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【About the role】
We are seeking a Data Analyst Intern in Taiwan that will be part of a product R&D team. The role will perform data analysis to help Appier teams to answer business or operational questions.
We are seeking potential candidates who can commit to 2-3 days a week and participate in the internship for a minimum of 6 months, starting immediately. Please ensure that you have checked your availability before applying.
【Responsibilities】
- Interpret trends or patterns from complex data sets by using statistical and visualization tools.
- Conduct data analysis reports to illustrate the results and insight
- Working with scientists and engineers to monitor and diagnose the system
- Develop tools and systems that optimize analysis process efficiency and report quality.
【About you】
[Minimum qualifications]
- Senior students in college or graduate students in related field
- Good analytical skills to extract meaningful insights from the data.
- Good ability to communicate data analysis insight to audiences with different backgrounds.
- Proficient oral and written communication skills in English.
- Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.
- Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.
- Programming skill: can write Python scripts for simple job automation.
[Preferred qualifications]
- Working experiences in digital advertising industries.
- Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau).
- Advanced Python programming: e.g. able to do complex analysis using Python.
- Experience in writing Spark programs for data analysis.
Ready to apply?
Apply to Appier
About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
About the role
As a Compliance Policy Intern at Appier, being positioned under Infosec team, you will support the Senior Compliance Program Manager in monitoring global regulatory trends, managing internal documentation, and ensuring business’ adherence to international data and AI regulations, as well as industrial standards. You will play a key role in tracking the evolving landscape of AI governance and data privacy across multiple jurisdictions.
Responsibilities
- Regulatory Research & Tracking: Monitor and provide weekly news briefs on international data laws and AI governance trends across regions including the EU, US, Japan, Korea, Singapore, Hong Kong, Vietnam, and the Philippines.
- Policy Analysis: Research specific legislative developments, such as the EU AI Act, US Executive Orders, and California state bills (e.g., SB 1047, AB 1018), and summarize their implications for the company.
- Managing the data subject request mechanism: Support compliance function by managing contract review tickets and data subject request (DSR) tickets within internal systems, including tracking of incoming mails and response to those requests via internal systems.
- AI & IP Governance: Research copyright compliance policies related to AI-generated works.
- Security questionnaire: Use AI tools such as NotebookLLM or Claude to fill out security questionnaires from clients and partners
About you
- Legal & Regulatory Interest: A strong interest in international data privacy laws (GDPR, PDPA) and emerging AI regulations (EU AI Act/ Korean Basic AI Act).
- Analytical Skills: Ability to synthesize complex legal updates into concise briefings and comparison tables.
- Bilingual Proficiency: Ability to work with both English and Mandarin legal texts and draft notes in both languages.
- Capacity in Japanese or Korean is a plus
- Capacity to use AI tool such as Clause code also a plus
- Attention to Detail: Experience in managing high volumes of documentation and tracking tickets accurately.
- Research Ability: Proficient in conducting deep-dive research into case law (e.g., Thomson Reuters v. ROSS) and official government guidance.
#LI-RL1
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【工作內容】
- 協助企業盡職調查之資料蒐集(會頻繁利用英、日文進行關鍵字搜尋及閱覽文件)
- 協助法務部門日常行政與文書作業（如：合約查詢、文件寄送、歸檔及其他主管交辦事項）
- 每週排班時間16-20個小時（每週到班3-4天）
- 可長期配合工讀者優先考慮
【徵求條件】
- 對時事、新聞、刑事犯罪、金融、科技、法律等議題具備一定敏感度，願意投入時間探索
- 具日文能力者(JLPT N2或以上)為佳
- 特質：細心耐心、認真負責，且常保好奇心
- 不需具備法律相關科系背景
- 上班時段可彈性協調
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Job Description
- 協助財務部門處裡財會業務(e.g傳票整理 / 發票整理&抽核 / 應收付帳款沖銷等 / 付款發票金額核對)
- 處理其他主管交辦事項
- 一週需可排班至少20小時
- 會計/商科等相關科系背景尤佳, 需要細心、負責、主動學習
- 可長期配合八個月以上尤佳
- 歡迎一般求職者，日/夜間在學生
Qualification
- 熟悉Excel (Windows Office)
- 中、英文閱讀能力佳
- 有耐心，可接受大量文字閱讀
- 上班時段可彈性協調
Ready to apply?
Apply to Appier
About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.
Visit www.appier.com for more information.
About the role
Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines.
We are currently looking for individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.
After the internship, there is an opportunity to transition from an intern to a full-time position.
[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]
Responsibilities
- Developing and operate scalable, reliable and maintainable service-based software and related components.
- Improve the scalability and observability of the system.
- Proposing and prototyping solutions to ease software development, monitoring of software, etc.
- Profiling and performance tuning of critical components.
- Improving system quality with test automation and related toolings.
- Participate in idea brainstorming and contribute ideas to technology, algorithms and products.
About you
[Minimum qualifications]
- Currently pursuing a degree in Computer Science or a related technical field.
- Proficient in building web services on a Linux platform.
- Strong skills in at least one of the following programming languages: Python, Go or Java.
- Solid understanding of Network API Design principles (e.g., REST or GraphQL).
- Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).
- Minimum familiarity with Git version control and the ability to perform basic Git operations.
- Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.
- Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions.
- A collaborative team player who is also capable of independent work.
- Proactive with strong interpersonal and problem-solving skills.
- Bachelor’s degree in Computer Science or a related field.
- Proficient in performance profiling and debugging tools.
- Experience in developing high-performance network services on Linux.
- Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.
- Familiarity with HTML and JavaScript.
- Experience with Nginx and HAProxy.
- Knowledge of Docker and Kubernetes, including experience using these tools.
- Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.
- Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.
- Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).
- Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.
- Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.
Ready to apply?
Apply to Appier
About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
About the role
We are looking for a Machine Learning Engineer Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.
We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.
[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]
What You’ll Work On
- Assist in operating robust ML job execution frameworks for training, inference, and post-processing.
- Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
- Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana.
- Create internal tools and services to simplify ML experimentation and production workflows.
- Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features
What We’re Looking For
[Minimum qualifications]
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
- 2+ years of experience in ML or engineering
- Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
[Preferred qualifications]
- Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
- Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity
- Understanding of core ML and deep learning concepts
- Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
- Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)
Ready to apply?
Apply to Appier