Realize your potential by joining the leading performance-driven advertising company!

As a Senior Backend Engineer on the Backend team in our Taipei Office, you’ll play a vital role in building the foundational systems that power content understanding for the entire organization. You will create the robust backbone that enables every team to leverage Generative AI. You will operate with the agility of a startup to deliver powerful, scalable solutions and directly shape how the company innovates with AI.

To thrive in this role, you'll need:

• 7+ years of hands-on coding experience in Java or similar object oriented programming languages.
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, applications programming and multi threading programming.
• Experience with SQL and No-SQL, ex: MySQL, Vertica, Cassandra, Google BigQuery.
• Experience with common frameworks: Spring, Maven, Kafka, Apache Spark.
• Proven experience in building and managing data pipelines and distributed systems.
• Thorough understanding of backend integration concepts and technologies such as API, web services, message queuing, and security practices.
• Quick and self-motivated learner with strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills and the ability to work collaboratively in both team and cross-timezone environments.

Bonus points if you have:

• Well understanding of common design patterns and engineering best practices.
• Familiarity with containerization and orchestration technologies like Kubernetes and Helm.
• Experience with workflow automation tools like Apache Airflow.
• Knowledge of CI/CD tools such as Jenkins.
• Familiarity with modern development practices such as Agile methodologies and DevOps principles.

How you'll make an impact:

As a Senior Backend Engineer, you will:

• Technical Leadership: Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems.
• Hands-On Excellence: Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
• Strategic Scalability: Driving the technical strategy for building highly scalable and reliable solutions to process massive datasets and ensure system stability.
• Democratizing AI: You will architect the centralized access layer that allows every service in the organization to integrate with Large Language Models safely and efficiently.
• Powering the Content Engine: You will own the high-throughput content data infrastructure that ingests, processes, and serves the fundamental data powering our recommendations.
• Automating Quality: You will co-own the pipelines responsible for automated Ad Quality, ensuring millions of recommendations meet strict safety standards without human intervention.
• End-to-End Ownership: You will take full responsibility for the lifecycle of your services—from initial architectural design and hands-on coding to deployment, monitoring, troubleshooting, handling incidents and ensuring production reliability.

Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

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  

As a Senior Program Manager in the Logistics Operations Center (LOC), you will shape strategy and lead execution for Taiwan logistics initiatives while partnering closely with regional stakeholders (including the KR team). You will translate insights into programs, manage complex cross-functional delivery, and embed KPI-driven operating rhythms that materially improve on-time delivery, cost-to-serve, and customer experience.Drive end-to-end program execution to improve Promise Delivery Date (PDD) performance, Delivery performance and elevate consumer satisfaction across first-mile, middle-mile, and last-mile operations. This role owns the roadmap, governance, and outcomes required to transform operational delivery through data-driven decision-making, cross-functional leadership, and scalable process excellence. You will succeed by influencing without formal authority, aligning leadership around clear priorities, and building mechanisms that scale—from reporting and dashboards to SOPs, governance, and change management.

What You Will Do

• End-to-End Program Leadership: Own the portfolio across first-, middle-, and last-mile. Define scope, OKRs, workstreams, and success metrics; lead planning, execution, launch, and stabilization.
• KR-to-TW Transition & Expansion: Lead a structured handover of existing TW last-mile reports from the KR team; design unified reporting that brings first-, middle-, and last-mile into a single end-to-end visibility framework.
• Operational Excellence & PDD Improvement: Partner with LOC specialists, hub managers, linehaul, sortation, and TW logistics leadership to prioritize defects, remove bottlenecks, and deliver measurable gains.
• Insight-to-Action Mechanisms: Build robust dashboards and operational reporting (Tableau/Power BI) to surface issues fast; convert analytics into clear decisions, owners, timelines, and SOP changes.
• Cross-Functional Problem Solving: Align on problem statements with partners (e.g., hub managers, Product, Engineering, Finance), decompose complex problems, and deliver structured analyses and recommendations.
• Simulation & Scenario Planning: Lead data simulations and sensitivity analyses for new initiatives (e.g., network design changes, volume shifts, cut-off adjustments), supporting fact-based trade-offs between service, speed, and cost.
• Risk & Change Management: Identify risks early, run mitigation plans, and manage stakeholder communications and change adoption at the field and leadership levels.
• Stakeholder Influence & Communication: Communicate crisply at all levels—from ops floors to executive forums—with narratives that clarify options, risks, and ROI.

Basic Qualifications 

• Experience: 6+ years in Program/Project Management or Analytics-driven Operations within logistics, e-commerce, supply chain, or similar high-scale environments.
• Data & Tools: Strong ability to self-serve and validate data (SQL required). Proficiency with Tableau and/or Power BI. Experience with big data environments (Hadoop, Spark, Presto, Airflow) is a plus. Python familiarity is a plus.
• Execution Excellence: Demonstrated ability to deliver complex, multi-team initiatives in fast-paced, ambiguous settings; strong risk management and dependency tracking.
• Problem Solving: Exceptional structured thinking and root cause analysis; ability to handle unstructured problems and convert into executable workstreams.
• Communication & Influence: Executive-ready written and verbal communication; adept at influencing senior stakeholders and driving decisions without authority.
• Education: Bachelor’s or Master’s in Statistics, Industrial Engineering, Operations Research, Supply Chain, or related field; or equivalent experience. 

Preferred Qualifications 

• Logistics Domain Depth: Understanding of first/middle/last mile, hub operations, linehaul planning, route optimization, and PDD mechanics.
• Technical Proficiency: Hands-on with Python or statistical tooling for simulations, forecasting, and experiment design. Very proficient with Google sheets, Excel, SQL , Tableau and PowerBI
• Leadership: Experience mentoring Business Analysts and leading program workstreams across Product, Engineering, Operations, and Finance.
• Languages: Strong English (written & verbal); additional Asian language capability (e.g., Mandarin or Korean) is a plus for regional collaboration. 

Recruitment Process and Others  

Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

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 Overseas” 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?”

Position : Principal, Program Management (Logistics Operation Center) 

What will you do?

• End-to-End Program Leadership: Own the portfolio across first-, middle-, and last-mile. Define scope, OKRs, workstreams, and success metrics; lead planning, execution, launch, and stabilization.
• KR-to-TW Transition & Expansion: Lead a structured handover of existing TW last-mile reports from the KR team; design unified reporting that brings first-, middle-, and last-mile into a single end-to-end visibility framework.
• Operational Excellence & PDD Improvement: Partner with LOC specialists, hub managers, linehaul, sortation, and TW logistics leadership to prioritize defects, remove bottlenecks, and deliver measurable gains.
• Insight-to-Action Mechanisms: Build robust dashboards and operational reporting (Tableau/Power BI) to surface issues fast; convert analytics into clear decisions, owners, timelines, and SOP changes.
• Cross-Functional Problem Solving: Align on problem statements with partners (e.g., hub managers, Product, Engineering, Finance), decompose complex problems, and deliver structured analyses and recommendations.
• Simulation & Scenario Planning: Lead data simulations and sensitivity analyses for new initiatives (e.g., network design changes, volume shifts, cut-off adjustments), supporting fact-based trade-offs between service, speed, and cost.
• Risk & Change Management: Identify risks early, run mitigation plans, and manage stakeholder communications and change adoption at the field and leadership levels.
• Stakeholder Influence & Communication: Communicate crisply at all levels—from ops floors to executive forums—with narratives that clarify options, risks, and ROI.

Basic Qualifications

• Experience: 6+ years in Program/Project Management or Analytics-driven Operations within logistics, e-commerce, supply chain, or similar high-scale environments.
• Data & Tools: Strong ability to self-serve and validate data (SQL required). Proficiency with Tableau and/or Power BI. Experience with big data environments (Hadoop, Spark, Presto, Airflow) is a plus. Python familiarity is a plus.
• Execution Excellence: Demonstrated ability to deliver complex, multi-team initiatives in fast-paced, ambiguous settings; strong risk management and dependency tracking.
• Problem Solving: Exceptional structured thinking and root cause analysis; ability to handle unstructured problems and convert into executable workstreams.
• Communication & Influence: Executive-ready written and verbal communication; adept at influencing senior stakeholders and driving decisions without authority.
• Education: Bachelor’s or Master’s in Statistics, Industrial Engineering, Operations Research, Supply Chain, or related field; or equivalent experience.

Preferred Qualifications

• Logistics Domain Depth: Understanding of first/middle/last mile, hub operations, linehaul planning, route optimization, and PDD mechanics.
• Technical Proficiency: Hands-on with Python or statistical tooling for simulations, forecasting, and experiment design. Very proficient with Google sheets, Excel, SQL , Tableau and PowerBI
• Leadership: Experience mentoring Business Analysts and leading program workstreams across Product, Engineering, Operations, and Finance.
• Languages: Strong English (written & verbal); additional Asian language capability (e.g., Mandarin or Korean) is a plus for regional collaboration.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  https://www.coupang.jobs/privacy-policy/​

人人均等的機會

Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Role Overview  

The Customer-Centric Planning team is looking for a Senior Data Analyst with an engineering mindset. You will not only be a user of data but also a builder of data infrastructure. This position highly integrates Data Analysis and Analytics Engineering. You will be responsible for maintaining Airflow ETL processes from multiple internal data sources such as Zendesk, WMS (Warehouse Management System), and OMS (Order Management System), and utilizing Python and AI tools for automation development to support the operation and optimize the experience of teams such as Supplier Support, Customer Support, and Andon.

1. Delve into underlying technologies: Directly operate Airflow and Presto clusters, participating in the complete lifecycle from Raw Data to Insight.
2. Embrace new technologies: We actively introduce AI (Windsurf, Gemini, Copilot) and automation tools to eliminate repetitive tasks.

What You Will Do 

• Quickly support (within hours) and respond to the needs of various operational teams, formulate Ad-Hoc analysis plans, and produce high-quality, highly accurate data reports.
• Operational Pain Point Analysis and Root Cause Analysis: Building a customer experience funnel, identifying process issues and operational problems from the user lifecycle, and analyzing deep-seated causes.
• End-to-End Data Pipeline Construction and Maintenance (ETL & Pipeline): Using Presto/Hive SQL to process large-scale data, responsible for designing and maintaining Airflow DAGs, developing and optimizing Data Marts, monitoring data pipeline health, and ensuring data quality.
• Process Automation and Tool Development (Automation & Tooling): Using Python to develop automation scripts, integrating Slack, GitHub, Zendesk, Tableau, Presto, Confluence, and various internal APIs, and using/introducing LangChain, MCP Server to achieve automated updates and releases for various research, report generation, Quality Assurance, etc., reducing manual intervention and improving team efficiency.

Basic Qualifications  

• 3+ years of data analysis or data engineering experience, with the ability to handle complex SQL queries (Recursive CTE, Window Functions, JSON parsing).
• Possess business analysis sensitivity, capable of transforming vague business problems (e.g., "Why are customer complaints increasing?") into concrete data analysis projects.
• Familiar with Tableau Server, Power BI, or related report creation and operation.

Preferred Qualifications

• Familiar with customer service and ticketing system operational data structures: experience in data analysis for similar systems such as customer service, e-commerce, and logistics.
• Possess e-commerce or supply chain domain knowledge: understanding of e-commerce business models and logistics inventory logic.
• Possess practical Python development skills, capable of writing automation scripts, handling API integration, or performing data transformation.
• Familiar with Airflow or similar workflow scheduling tools, with practical experience in writing and maintaining DAGs.
• Familiar with version control tools (GitHub/Git), accustomed to Pull Request (PR) review and collaboration processes.
• AI/LLM application experience: experience using LangChain or internal AI tools to build auxiliary analysis agents or automated processes.

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

主要職責：

營運痛點分析與歸因 (Root Cause Analysis)：建構顧客體驗漏斗，從用戶生命週期識別流程問題、營運文題、分析深層原因。

端到端數據管道建構與維護 (ETL & Pipeline)：使用 Presto/Hive SQL 處理大規模數據，負責設計與維護 Airflow DAGs、開發並優化數據市集 (Data Marts)、監控數據管道健康度，確保數據準確性 (Data Quality)。

流程自動化與工具開發 (Automation & Tooling)：使用 Python 開發自動化腳本，整合 Slack、GitHub、Zendesk、Tableau、Presto、Confluence 與各類內部 API 並使用/導入 LangChain、MCP Server，實現各類研究、報表建立、Quality Assurance 等自動化更新與發布，減少人工介入、提升團隊效率

必要條件：

具備處理SQL 查詢 (Recursive CTE, Window Functions, JSON parsing) 的能力。

具備商業分析敏感度，能將模糊的業務問題 (如「為什麼客訴增加？」) 轉化為具體的數據分析專案。

熟悉 Tableau Server 、 Power BI 或相關報表製作與操作。

加分條件：

熟悉客服與工單系統營運數據結構：有客服、電商、物流等類似系統的數據分析經驗。

具備電商或供應鏈領域知識：了解電商商業模式、物流庫存邏輯。

具備 Python 實務開發能力，能夠撰寫自動化腳本、處理 API 串接或進行數據轉換。

熟悉 Airflow 或類似的工作流調度工具，有實際撰寫與維護 DAG 的經驗。

熟悉版本控制工具 (GitHub/Git)，習慣 Pull Request (PR) 審查與協作流程。

AI/LLM 應用經驗：曾使用 LangChain 或內部 AI 工具建構輔助分析的 Agent 或自動化流程。 

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 Customer-Centric Planning team is looking for a Senior Data Analyst with an engineering mindset. You will not only be a user of data but also a builder of data infrastructure. This position highly integrates Data Analysis and Analytics Engineering. You will be responsible for maintaining Airflow ETL processes from multiple internal data sources such as Zendesk, WMS (Warehouse Management System), and OMS (Order Management System), and utilizing Python and AI tools for automation development to support the operation and optimize the experience of teams such as Supplier Support, Customer Support, and Andon.

1. Delve into underlying technologies: Directly operate Airflow and Presto clusters, participating in the complete lifecycle from Raw Data to Insight.
2. Embrace new technologies: We actively introduce AI (Windsurf, Gemini, Copilot) and automation tools to eliminate repetitive tasks.

What You Will Do 

• Quickly support (within hours) and respond to the needs of various operational teams, formulate Ad-Hoc analysis plans, and produce high-quality, highly accurate data reports.
• Operational Pain Point Analysis and Root Cause Analysis: Building a customer experience funnel, identifying process issues and operational problems from the user lifecycle, and analyzing deep-seated causes.
• End-to-End Data Pipeline Construction and Maintenance (ETL & Pipeline): Using Presto/Hive SQL to process large-scale data, responsible for designing and maintaining Airflow DAGs, developing and optimizing Data Marts, monitoring data pipeline health, and ensuring data quality.
• Process Automation and Tool Development (Automation & Tooling): Using Python to develop automation scripts, integrating Slack, GitHub, Zendesk, Tableau, Presto, Confluence, and various internal APIs, and using/introducing LangChain, MCP Server to achieve automated updates and releases for various research, report generation, Quality Assurance, etc., reducing manual intervention and improving team efficiency.

Basic Qualifications  

• 3+ years of data analysis or data engineering experience, with the ability to handle complex SQL queries (Recursive CTE, Window Functions, JSON parsing).
• Possess business analysis sensitivity, capable of transforming vague business problems (e.g., "Why are customer complaints increasing?") into concrete data analysis projects.
• Familiar with Tableau Server, Power BI, or related report creation and operation.

Preferred Qualifications

• Familiar with customer service and ticketing system operational data structures: experience in data analysis for similar systems such as customer service, e-commerce, and logistics.
• Possess e-commerce or supply chain domain knowledge: understanding of e-commerce business models and logistics inventory logic.
• Possess practical Python development skills, capable of writing automation scripts, handling API integration, or performing data transformation.
• Familiar with Airflow or similar workflow scheduling tools, with practical experience in writing and maintaining DAGs.
• Familiar with version control tools (GitHub/Git), accustomed to Pull Request (PR) review and collaboration processes.
• AI/LLM application experience: experience using LangChain or internal AI tools to build auxiliary analysis agents or automated processes.

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

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 Overseas” 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?”

Position : Principal, Program Management (Logistics Operation Center) 

What will you do?

• End-to-End Program Leadership: Own the portfolio across first-, middle-, and last-mile. Define scope, OKRs, workstreams, and success metrics; lead planning, execution, launch, and stabilization.
• KR-to-TW Transition & Expansion: Lead a structured handover of existing TW last-mile reports from the KR team; design unified reporting that brings first-, middle-, and last-mile into a single end-to-end visibility framework.
• Operational Excellence & PDD Improvement: Partner with LOC specialists, hub managers, linehaul, sortation, and TW logistics leadership to prioritize defects, remove bottlenecks, and deliver measurable gains.
• Insight-to-Action Mechanisms: Build robust dashboards and operational reporting (Tableau/Power BI) to surface issues fast; convert analytics into clear decisions, owners, timelines, and SOP changes.
• Cross-Functional Problem Solving: Align on problem statements with partners (e.g., hub managers, Product, Engineering, Finance), decompose complex problems, and deliver structured analyses and recommendations.
• Simulation & Scenario Planning: Lead data simulations and sensitivity analyses for new initiatives (e.g., network design changes, volume shifts, cut-off adjustments), supporting fact-based trade-offs between service, speed, and cost.
• Risk & Change Management: Identify risks early, run mitigation plans, and manage stakeholder communications and change adoption at the field and leadership levels.
• Stakeholder Influence & Communication: Communicate crisply at all levels—from ops floors to executive forums—with narratives that clarify options, risks, and ROI.

Basic Qualifications

• Experience: 6+ years in Program/Project Management or Analytics-driven Operations within logistics, e-commerce, supply chain, or similar high-scale environments.
• Data & Tools: Strong ability to self-serve and validate data (SQL required). Proficiency with Tableau and/or Power BI. Experience with big data environments (Hadoop, Spark, Presto, Airflow) is a plus. Python familiarity is a plus.
• Execution Excellence: Demonstrated ability to deliver complex, multi-team initiatives in fast-paced, ambiguous settings; strong risk management and dependency tracking.
• Problem Solving: Exceptional structured thinking and root cause analysis; ability to handle unstructured problems and convert into executable workstreams.
• Communication & Influence: Executive-ready written and verbal communication; adept at influencing senior stakeholders and driving decisions without authority.
• Education: Bachelor’s or Master’s in Statistics, Industrial Engineering, Operations Research, Supply Chain, or related field; or equivalent experience.

Preferred Qualifications

• Logistics Domain Depth: Understanding of first/middle/last mile, hub operations, linehaul planning, route optimization, and PDD mechanics.
• Technical Proficiency: Hands-on with Python or statistical tooling for simulations, forecasting, and experiment design. Very proficient with Google sheets, Excel, SQL , Tableau and PowerBI
• Leadership: Experience mentoring Business Analysts and leading program workstreams across Product, Engineering, Operations, and Finance.
• Languages: Strong English (written & verbal); additional Asian language capability (e.g., Mandarin or Korean) is a plus for regional collaboration.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  https://www.coupang.jobs/privacy-policy/​

人人均等的機會

Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功

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  

As a Senior Program Manager in the Logistics Operations Center (LOC), you will shape strategy and lead execution for Taiwan logistics initiatives while partnering closely with regional stakeholders (including the KR team). You will translate insights into programs, manage complex cross-functional delivery, and embed KPI-driven operating rhythms that materially improve on-time delivery, cost-to-serve, and customer experience.Drive end-to-end program execution to improve Promise Delivery Date (PDD) performance, Delivery performance and elevate consumer satisfaction across first-mile, middle-mile, and last-mile operations. This role owns the roadmap, governance, and outcomes required to transform operational delivery through data-driven decision-making, cross-functional leadership, and scalable process excellence. You will succeed by influencing without formal authority, aligning leadership around clear priorities, and building mechanisms that scale—from reporting and dashboards to SOPs, governance, and change management.

What You Will Do

• End-to-End Program Leadership: Own the portfolio across first-, middle-, and last-mile. Define scope, OKRs, workstreams, and success metrics; lead planning, execution, launch, and stabilization.
• KR-to-TW Transition & Expansion: Lead a structured handover of existing TW last-mile reports from the KR team; design unified reporting that brings first-, middle-, and last-mile into a single end-to-end visibility framework.
• Operational Excellence & PDD Improvement: Partner with LOC specialists, hub managers, linehaul, sortation, and TW logistics leadership to prioritize defects, remove bottlenecks, and deliver measurable gains.
• Insight-to-Action Mechanisms: Build robust dashboards and operational reporting (Tableau/Power BI) to surface issues fast; convert analytics into clear decisions, owners, timelines, and SOP changes.
• Cross-Functional Problem Solving: Align on problem statements with partners (e.g., hub managers, Product, Engineering, Finance), decompose complex problems, and deliver structured analyses and recommendations.
• Simulation & Scenario Planning: Lead data simulations and sensitivity analyses for new initiatives (e.g., network design changes, volume shifts, cut-off adjustments), supporting fact-based trade-offs between service, speed, and cost.
• Risk & Change Management: Identify risks early, run mitigation plans, and manage stakeholder communications and change adoption at the field and leadership levels.
• Stakeholder Influence & Communication: Communicate crisply at all levels—from ops floors to executive forums—with narratives that clarify options, risks, and ROI.

Basic Qualifications 

• Experience: 6+ years in Program/Project Management or Analytics-driven Operations within logistics, e-commerce, supply chain, or similar high-scale environments.
• Data & Tools: Strong ability to self-serve and validate data (SQL required). Proficiency with Tableau and/or Power BI. Experience with big data environments (Hadoop, Spark, Presto, Airflow) is a plus. Python familiarity is a plus.
• Execution Excellence: Demonstrated ability to deliver complex, multi-team initiatives in fast-paced, ambiguous settings; strong risk management and dependency tracking.
• Problem Solving: Exceptional structured thinking and root cause analysis; ability to handle unstructured problems and convert into executable workstreams.
• Communication & Influence: Executive-ready written and verbal communication; adept at influencing senior stakeholders and driving decisions without authority.
• Education: Bachelor’s or Master’s in Statistics, Industrial Engineering, Operations Research, Supply Chain, or related field; or equivalent experience. 

Preferred Qualifications 

• Logistics Domain Depth: Understanding of first/middle/last mile, hub operations, linehaul planning, route optimization, and PDD mechanics.
• Technical Proficiency: Hands-on with Python or statistical tooling for simulations, forecasting, and experiment design. Very proficient with Google sheets, Excel, SQL , Tableau and PowerBI
• Leadership: Experience mentoring Business Analysts and leading program workstreams across Product, Engineering, Operations, and Finance.
• Languages: Strong English (written & verbal); additional Asian language capability (e.g., Mandarin or Korean) is a plus for regional collaboration. 

Recruitment Process and Others  

Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) 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

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 5+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Experience working with ClickHouse is a big plus
• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) 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

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 2+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Experience working with ClickHouse is a big plus
• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

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. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

[Job Overview]
We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization.
This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.

[Responsibilities]
· Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.
· Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.
· Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).
· Implement automated remediation, reconciliation workflows, and historical backfilling.
· Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.
· End-to-End pipelines: plan and maintain scalable ETL/ELT including scheduling, caching, partitioning, modelling, schema evolution, and lineage to support both batch and real-time streaming.
· Enforce data access controls, encryption, auditing, and classification to comply with internal policies and external regulatory requirements (including PII management).
· Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD to improve predictability and reduce manual risk.
· Contribute to embedded GenAI and LLM-powered data applications for enterprise analytics, reconciliation, and internal productivity use cases.
· Partner with analytics and product teams to operationalize AI-driven data solutions.

[Requirements]
· Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
· 5+ years of experience in data engineering, data platform architecture, or AI/ML engineering.
· Strong experience with modern cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
· Hands-on experience building BI data foundations and supporting GenAI / LLM architectures.
· Proficiency in SQL and workflow orchestration tools (e.g., Airflow), streaming platforms (e.g., Kafka), and pipeline design best practices.
· Solid understanding of data warehouse development lifecycles and dimensional modeling concepts.
· Familiarity with GitLab and CI/CD pipelines.
· Strong debugging, performance tuning, and problem-solving skills.
· Working knowledge of data governance, lineage, privacy, and security frameworks.

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！

你將在團隊參與⋯

• 帶領 Dcard 機器學習團隊，制定並推動團隊目標。
  • 與產品及商業團隊密切合作，確保模型設計、資料流程與系統建構，高度對齊 Dcard 社群、廣告產品策略，並支持團隊成員的職涯發展與技能成長。
  • 負責推薦演算法的設計、開發與優化，並驅動推薦系統的技術創新，包含模型訓練、Feature pipeline 設計、個人化推薦策略，以及系統穩定性維護。
• 與 Infrastructure 及其他 ML/Engineering 等團隊緊密合作，共同建置 Dcard 機器學習相關系統。並從大量使用者數據中分析、挖掘洞察，以迭代演算法並優化產品體驗。
• 與團隊成員及公司技術高階主管共同制定技術發展願景與中長期 Roadmap，持續提升團隊技術力與影響力。

我們期待看到一個優秀的 Machine Learning Team Lead 具備以下能力

• 具備出色的技術領導能力，至少 1 年以上 Engineering Manager 的經歷或兩年以上工程專案管理經驗，曾經帶領不同技術背景、不同職能的夥伴達成共同目標。
• 五年以上軟體開發經驗，熟悉軟體專案開發與設計原則 (如 design principle, software architectures）。
• 熱愛思考使⽤者的需求，動手將演算法打造成產品。
• 精通 Python，並對學習新技術持開放態度，具備良好的軟體工程實踐經驗。
• 了解機器學習演算法及工作流程，例如 NLP、Deep Learning、Recommendation System 等。
• 重視程式品質與系統可維護性，面對需求能夠提出最小可行性系統架構及了解其中的 tradeoff。
• 具備良好的溝通與跨部門協作能力，能清楚表達技術決策、引導團隊對齊方向，並與其他團隊順利合作。

如果你擁有以下能力，那就更棒了！

• 有 Tech Lead 經驗或系統架構師經驗。
• 面對不熟悉的議題（非技術相關，如人事或組織議題），能夠拆解問題並思考討論解決方案。
• 具有高流量或者大型系統開發經驗。
• 能夠執行高品質的 code review or design review。
• 熟悉分散式系統設計，能夠處理巨量資料或開發大型系統。
• 熟悉機器學習系統商業應用場景、系統設計。
• 能夠解決主流 ML framework 在巨量資料開發時遇到的問題。
• 熟悉以下其中幾項技術：
  
  • PyTorch / Scikit-Learn / XGBoost / Tensorflow
  • Airflow
  • GCP / Kubernetes
  • SQL / NoSQL / Redis
  • Linux

薪資待遇

• 面議

注意事項

• 若不符合職位需求的面試者，將不另行通知。
• 如果尋找到合適的人選加入，職缺可能會提前關閉。
• 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
• 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境。

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。

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. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers. 

• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers. 

• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.). 

• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control. 

• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM. 

• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA). 

• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection). 

• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications. 

• Vector Database: Experience with Vector DBs for RAG applications. 

Other Benefits 

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  

• 15 days annual leaves (pro-rata for partial month at first year) 
• 5 days full-pay sick leaves, 3 days menstrual leaves 
• Health check subsidy 
• Ergonomic-design chair and fully-equipped devices for work
• Hybrid remote work and flexible working hour.

Grow together & keep learning

• Conferences & external subsidy 
• Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc) 

Work Hard, Play even Harder 

• Various entertainment & sports clubs, attend basketball clubs today, and play board game tomorrow! 
• Snacks & beverage to refill your energy anytime 

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!

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