Staff Machine Learning Engineer
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Company Introduction:
Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.
We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”
Role Overview:
This role is ideal for a pragmatic and impact-driven builder who is passionate about bridging the gap between data science and production systems. You will collaborate closely with Data Scientists to bring predictive models to life, establishing robust deployment pipelines, setting up foundational infrastructure, and driving MLOps best practices. The successful candidate will thrive in laying down technical foundations from scratch, ensuring scalability, maintainability, and high performance for our data and data science workflows.
What You Will Do:
- Collaborate closely with Data Scientists and Data Analysts to translate experimental code into production-ready architectures, driving code refactoring, model hosting decisions, and seamless integration.
- Design and formalize end-to-end model deployment processes, establishing standardized workflows for model versioning management to ensure reproducibility and reliability in production.
- Build and maintain robust data pipelines leveraging modern big data and distributed processing ecosystems, while establishing standardized Data Science development environments to boost cross-functional team productivity.
- Implement foundational ML infrastructure and standards, including feature store integration and data versioning management, tailored to support scalable business growth.
- Develop and operationalize predictive solutions using appropriate statistical, analytical, or heuristic approaches, when business needs require, bridging analytical insights with operational execution.
- Monitor, maintain, and optimize existing deployed solutions, proactively identifying bottlenecks, addressing technical debt, and ensuring high availability of production models.
Basic Qualifications
- Bachelor's/Master's degree in computer science, software engineering, industrial engineering, or any other quantitative disciplines, with 5+ years of relevant software/ML engineering experience in industry
- Hands-on experience in MLOps and model deployment lifecycle, including code refactoring, containerization (Docker, Kubernetes), and model hosting strategies (e.g., FastAPI, REST APIs, or cloud-native endpoints)
- Solid proficiency in Python, SQL, and distributed data processing frameworks (e.g., Spark, Hive, or equivalent big data technologies), with proven experience in building and maintaining scalable data pipelines
- Practical experience in setting up and standardizing ML foundations, such as feature stores, data versioning tools (e.g., DVC), and model registry/versioning management systems
- Strong software engineering best practices, including version control (Git), CI/CD pipelines, code testing, and clean architecture design
- Excellent written and verbal communication skills to effectively collaborate with Data Scientists, product managers, and software engineering stakeholders
Preferred Qualifications:
- Demonstrated experience working side-by-side with Data Scientists in an applied research or advanced analytics environment
- Familiarity with building and deploying lightweight or moderate-complexity machine learning models (e.g., forecasting, classification, or regression tasks)
- Experience evaluating and implementing internal tooling and lightweight frameworks to streamline DS workflows and accelerate time-to-market
- A deep understanding of the e-commerce or supply chain domain, with a track record of driving scalable engineering solutions that deliver measurable business impact
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.
Skills
As published by greenhouse · 16 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (4)
- LinkedIn Profile optional
- - Name of Relative(s) / 親屬姓名: optional
- - Relationship / 關係: optional
- - Working Org / Team / 任職組織/團隊: optional
Pick from a list (12)
- Coupang Corporation or its affiliates and subsidiaries* (or collectively referred to as “Coupang”) does not collect, process or use any personal information other than the types of information specified in this Consent. Please ensure that your resume does not include any personal information other than the types specified in this Consent.
- 1. What is your nationality?
- 1. (Required) By submitting your resume, you consent to the required collection, processing, use, required provision/transfer, and consignment of personal information as set forth in our Privacy Policy (https://privacy.coupang.com/en/land/jobs/).
- 2. (Optional) Name, contact information, email address, nationality, educational background, work experience, qualifications, national merit status (for special hiring program applicants only), relative’s name/relationship/team and application history are collected and used on an ongoing basis for recruitment purposes and may be provided to any of our affiliates and subsidiaries*, other than the company to which you originally applied, for the purpose of reviewing and conducting recruitment for similar positions. Personal information collected and provided will be retained for the duration of the year-round recruitment retention period defined in the Privacy Policy. You may refuse to provide consent, but such refusal may prevent the year-round hiring from progressing normally or may result in the restriction of opportunities in the hiring process of companies other than the one you applied.
- 3. (Optional) Recordings of the interview process and transcriptions of interview audio maybe collected and used for the following purposes: i) to record the interview process, ii) to transcribe and document interview audio, iii) to summarize interview results, iv) to verify the interview process and evaluation results, v) to improve the hiring procedures, vi) to check candidate fit for other open positions, vii) to review past interview records. Collected personal information are retained for 4 years from the notification of hiring result, and then deleted. You may refuse to provide this consent, and refusal will not affect the recruitment process.
- 4. (Optional) Coupang or its affiliate or subsidiary company* will send recruitment notifications through transmission media such as phone, email, and SMS using the contact information and email address based on your consent.
- 5. (Optional) Coupang or its affiliate or subsidiary company* will conduct reference checks on you within the following scope based on your consent: Additional reference checks may be conducted on applicants who applied for a job at Coupang and passed interviews, and Coupang arranges means to conduct reference checks. Coupang may collect other personal information about you, including integrity information collected from public sources and the performance evaluation information collected from your former employer or colleagues.
- 1. I understand that working with Relatives in the Coupang group of companies (collectively, the "Coupang Group") -- where they can influence each other’s work -- can potentially create conflicts of interest. Therefore, such a situation requires prior approval from the People Operations. In view of the above, I hereby confirm that I DO NOT have any Relatives working in any company within the Coupang Group or serving on the Board of Directors of any company within the Coupang Group;
- 1. Are you currently, or have you been a government official, public servant, or employee of a public institution who may be subject to post employment or reemployment restrictions under applicable laws or regulations?
- 2. Do you acknowledge and agree that where required under applicable laws or regulations: optional
- You have the right to inquire/access, request a copy, supplement/correct, delete, suspend the collection, processing, or use and suspend the transfer of your personal information that Coupang holds. Exercising certain rights, such as deletion of personal information, may result in the restriction of the hiring process. If you wish to exercise any of these choices, please contact our privacy representative at [candidatedataremove@coupang.com].
- Document Policy