All active NLP roles based in Taiwan.
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Company Introduction:
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Role Overview:
The Coupang Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.
What You Will Do:
This is a dynamic, rapidly evolving and complex ecosystem, and thus the person hired for this role will be comfortable dealing with high degree of complexity and working with a large cohort of stakeholders internationally across South Korea, Taiwan, China, India, and the US. These stakeholders include Retail and Pricing Product, 3P Marketplace, Search & Discovery, Customer Experience, and Finance.
In this pivotal role, you will be at the forefront of defining and executing a strategic roadmap tailored to the Taiwanese market, ensuring that our innovative e-commerce solutions resonate with local consumers while maintaining the essence of Coupang's groundbreaking services. You will:
Basic Qualifications
Preferred Qualifications:
Recruitment Process
Details to Consider
Privacy Notice
Ready to apply?
Apply to Coupang InternalCompany Introduction:
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Role Overview:
The Coupang Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.
What You Will Do:
This is a dynamic, rapidly evolving and complex ecosystem, and thus the person hired for this role will be comfortable dealing with high degree of complexity and working with a large cohort of stakeholders internationally across South Korea, Taiwan, China, India, and the US. These stakeholders include Retail and Pricing Product, 3P Marketplace, Search & Discovery, Customer Experience, and Finance.
In this pivotal role, you will be at the forefront of defining and executing a strategic roadmap tailored to the Taiwanese market, ensuring that our innovative e-commerce solutions resonate with local consumers while maintaining the essence of Coupang's groundbreaking services. You will:
Basic Qualifications
Preferred Qualifications:
Recruitment Process
Details to Consider
Privacy Notice
Ready to apply?
Apply to Coupang
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We are building the definitive AI-powered crypto search engine, transforming how users discover, analyze, and interact with on-chain and off-chain data. Our mission is to make the complex world of crypto instantly accessible through intelligent, natural-language search. As Head of Growth, you will architect our user acquisition strategy, leveraging data-driven approaches to scale our platform into the go-to gateway for millions of crypto participants.
Design and execute the overarching user acquisition strategy, focusing on sustainable growth loops and high-retention onboarding.
Lead performance marketing efforts across digital channels, optimizing spend based on rigorous CAC and LTV analysis.
Implement growth hacking experiments to identify new channels for user expansion, from viral referral programs to SEO-driven content strategies.
Work closely with the product and engineering teams to integrate growth-focused features and reduce friction in the user journey.
Manage and analyze the full growth stack, using data to drive decisions on product positioning and marketing messaging.
5+ years of experience in growth marketing or user acquisition, specifically within the fintech, crypto, or AI sectors.
Strong analytical skills with the ability to interpret complex datasets and translate them into actionable growth tactics.
Proven track record of scaling consumer-facing platforms through a mix of performance marketing and organic growth hacking.
Deep understanding of the crypto market landscape and user behavior patterns within the Web3 ecosystem.
Experience managing growth budgets and working with modern marketing automation and analytics tools.
Ready to apply?
Apply to Hyphen Connect Limited
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About the role
We are seeking an experienced Machine Learning Lead to helm our Machine Learning team.
In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).
Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.
2. MLOps& Data Infrastructure:
3. Cross-Functional Implementation & Leadership:
4. Technical Strategy & Stakeholder Management:
Qualifications
Ready to apply?
Apply to AIFT
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About the Company
The company is the world’s first licensed hybrid decentralized exchange (DEX), on a mission to make wealth-building as natural as daily life. It is building a compliant, self-custodial platform for premium tokenized strategies—from crypto to alternative investments—on trusted infrastructure. As a Design System Designer, you will play a pivotal role in shaping the visual and functional foundations of a next-generation financial platform. You will be responsible for building, evolving, and maintaining a scalable design language that bridges the gap between complex trading products and high-impact marketing initiatives. This role is ideal for a systems thinker who thrives on creating consistency, scalability, and high-quality craft across both desktop and mobile environments.
System Evolution & Maintenance: Design and maintain comprehensive, scalable Figma libraries for both product teams (trading platforms, wallets, onboarding) and marketing teams (social templates, landing pages, campaign kits).
Standardization: Document and govern cross-functional visual standards—including typography, color theory, spacing, iconography, and motion—to ensure a balance between brand expression and accessibility.
Component Development: Build and document a library of reusable UI components (modals, charts, tables, inputs, etc.) with clearly defined interaction states and technical specifications.
Engineering Collaboration: Partner closely with developers to ensure design-to-code parity, participating in handoff processes, QA, and the implementation of React-based component libraries.
Marketing Support: Develop modular systems for social media, email campaigns, webinars, and pitch decks to ensure brand consistency across all touchpoints.
Interaction Design: Create sophisticated motion patterns and micro-interactions that enhance usability and bring the platform’s brand to life.
Audit & Governance: Perform regular audits of existing experiences to identify and rectify inconsistencies in design usage and accessibility.
Strategic Contribution: Participate in design critiques and contribute to the system roadmap based on emerging product features and industry best practices.
Experience: 5+ years of experience in Product, UX, or Interaction Design, with at least 3 years dedicated specifically to building and maintaining design systems.
Technical Mastery: Deep proficiency in Figma, including advanced features like tokens, variables, auto layout, and variants.
Systems Thinking: A proven ability to think modularly and create scalable solutions for complex, data-heavy interfaces.
Communication: Exceptional skills in articulating design decisions and collaborating across engineering, product, and marketing departments.
Industry Knowledge: Familiarity with Apple’s Human Interface Guidelines (HIG), Google’s Material Design, and accessibility standards (WCAG).
Portfolio: A strong portfolio demonstrating your ability to bridge the gap between branding and functional product design.
Ready to apply?
Apply to Hyphen Connect Limited
Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方,讓平凡人分享不平凡故事的新世代社群服務。面對快速變化的社群生態,我們期待更多優秀的人才加入 Dcard。
為了達成這個目標,我們需要 Machine Learning Team Lead 加入我們,你將帶領 Dcard 的機器學習團隊,透過大規模使用者數據中發掘洞察,持續提升使用者體驗及產品黏著度。歡迎加入這個熱愛挑戰的技術團隊,一起打造被千萬人喜愛與使用的產品!
狄卡科技股份有限公司及其關係企業基於「員工招募」之目的,將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料,或您主動為求職目的而提供的資料(履歷、自傳等),以在招募期間及地區內,作為本次招募作業審核、評選、聯繫之用。如您未獲錄取,我們仍將保留您的資料以便向您通知新的職缺機會。
您得以聯繫狄卡科技股份有限公司及其關係企業(電子信箱:hr.ta@dcard.cc)行使請求查閱、補充、更正;請求提供複製本;請求停止蒐集、處理、利用;請求刪除個人資料等權利。如您未正確、完整提供各項資料,將可能影響聘用審核、評選或聯繫。
Ready to apply?
Apply to DcardAbout the role
We are seeking an experienced Machine Learning Lead to helm our Machine Learning team.
In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team).
Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction.
2. MLOps& Data Infrastructure:
3. Cross-Functional Implementation & Leadership:
4. Technical Strategy & Stakeholder Management:
Qualifications
To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter.
Work Life Balance is a must
Grow together & keep learning
Work Hard, Play even Harder
Ready to apply?
Apply to AIFT
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
About you
[Minimum qualifications]
[Preferred qualifications]
#LI-AK1
Ready to apply?
Apply to Appier
About Appier
Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.
About the Role
We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.
In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.
What You’ll Do
Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.
Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.
Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.
Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.
Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.
Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.
Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.
Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.
Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.
What You Bring
Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).
5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.
Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.
In-depth experience with cloud environments (AWS or GCP) and cloud-native service management.
Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.
Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops.
Familiarity with Git workflows and Linux-based development environments.
Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.
What Will Set You Apart
Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.
Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.
Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.
Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.
Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.
Familiarity with real-time online inference architectures and batch processing trade-offs.
Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.
Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).
Why Join Appier?
At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!
#LI-AK1
Ready to apply?
Apply to Appier
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