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:

• Craft our path to becoming Taiwan’s top e-commerce platform, focusing on strategic product development that places customer experience at the forefront, ensuring excellence without compromise. We aim to set the new industry benchmark in Taiwan.
• Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure to foster a supportive and collaborative culture to enable fast-paced product development while challenging the business-as-usual mentality.
• Prioritize and create a future roadmap of projects and initiatives, considering the necessary trade-offs and optimizing for Customer experience. This will likely include the development of a next generation suite of tools to automate our Catalog processes.
• Join a team of world-class talent drawn from across the globe and drive alignment with a wide variety of stakeholders, including executives in engineering, data science, product, operations, and infrastructure to achieve the above goal.
• Lead a variety of initiatives, from expanding market reach to optimizing product offerings, all aimed at driving customer satisfaction and business growth. Employ a data-centric approach to identify trends, tailor strategies, and deliver tangible, impactful results.

Basic Qualifications

• Minimum 8 years of product management experience or equivalent, with a proven track record of developing and scaling innovative products.
• Experience creating product roadmap(s) from conception to launch, driving the product vision, defining the GTM strategy, leading design discussions, testing, iterating, and overseeing pre- and post-launch execution.
• Ability to combine strategic foresight with a strong execution focus to drive results.  Combined with exceptional analytical skills to drive decision-making and system optimizations based on robust data analysis.
• Experience in launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.
• A proactive approach, with a willingness to delve into details, drive results, adapt and find creative solutions in a constantly changing environment.  Hands on experience working in an agile environment with a rapid iteration cadence (Launch new products and features, test their performance, and iterate quickly).
• Excellent communication skills, capable of conveying complex ideas succinctly and persuasively.

Preferred Qualifications:

• Prior experience in the e-commerce industry.
• Experience working and influencing cross-functionally and building relationships across globally distributed teams, with people outside the direct reporting chain and senior executives.
• Experience leading, driving, launching and managing projects with at one of the targeted workloads: AI; ML; NLP/NLU; Deep Learning; LLM; OCR; or any other relevant technologies.

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.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

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:

• Craft our path to becoming Taiwan’s top e-commerce platform, focusing on strategic product development that places customer experience at the forefront, ensuring excellence without compromise. We aim to set the new industry benchmark in Taiwan.
• Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure to foster a supportive and collaborative culture to enable fast-paced product development while challenging the business-as-usual mentality.
• Prioritize and create a future roadmap of projects and initiatives, considering the necessary trade-offs and optimizing for Customer experience. This will likely include the development of a next generation suite of tools to automate our Catalog processes.
• Join a team of world-class talent drawn from across the globe and drive alignment with a wide variety of stakeholders, including executives in engineering, data science, product, operations, and infrastructure to achieve the above goal.
• Lead a variety of initiatives, from expanding market reach to optimizing product offerings, all aimed at driving customer satisfaction and business growth. Employ a data-centric approach to identify trends, tailor strategies, and deliver tangible, impactful results.

Basic Qualifications

• Minimum 8 years of product management experience or equivalent, with a proven track record of developing and scaling innovative products.
• Experience creating product roadmap(s) from conception to launch, driving the product vision, defining the GTM strategy, leading design discussions, testing, iterating, and overseeing pre- and post-launch execution.
• Ability to combine strategic foresight with a strong execution focus to drive results.  Combined with exceptional analytical skills to drive decision-making and system optimizations based on robust data analysis.
• Experience in launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.
• A proactive approach, with a willingness to delve into details, drive results, adapt and find creative solutions in a constantly changing environment.  Hands on experience working in an agile environment with a rapid iteration cadence (Launch new products and features, test their performance, and iterate quickly).
• Excellent communication skills, capable of conveying complex ideas succinctly and persuasively.

Preferred Qualifications:

• Prior experience in the e-commerce industry.
• Experience working and influencing cross-functionally and building relationships across globally distributed teams, with people outside the direct reporting chain and senior executives.
• Experience leading, driving, launching and managing projects with at one of the targeted workloads: AI; ML; NLP/NLU; Deep Learning; LLM; OCR; or any other relevant technologies.

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.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

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. 

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 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

• Use machine learning and analytical techniques to build prediction model for advertising/enterprise solutions.
• Experience in analyzing and extracting valuable information from large amounts of business data
• Design, develop and test advanced models for predictive consumer behavior
• Co-operate with software engineering teams to drive real-time model implementations and new feature creations
• Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation
• Research and evaluate pioneering machine learning and statistical model

About you

[Minimum qualifications]

• Master or Ph.D. in Computer Science, Machine Learning, Math or Statistics. (Familiar with probabilistic model predictive models)
• Solid experience in system design and programming, ability to work with big data with minimal engineering support
• 3+ year experience in data mining, algorithms, statistical analysis, computational NLP and/or machine learning
• Proven ability of solving challenging problems in both academia and industry
• Extensive publication experience
• Self-motivation and an ability to priorities multiple competing challenges in a fast-growth environment
• Thinking about thinking; meta-cognition
• Applying past knowledge to new situations; remain open to continuous learning
• Thinking and communicating with clarity and precision

[Preferred qualifications]

• Excellent presentation skill to articulate product ideas to technical/non-technical audience

#LI-AK1

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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