Role OverviewGlobal Operations Optimization Science and Engineering (GOOSE) is an applied science/ML org within the Global Operations Technology (GOT) team at Coupang. The team builds and operates ML/optimization systems across a wide range of business operations, including supply chain, fulfillment, logistics, delivery, commerce risk detection, and post-purchase experiences.
Counterfeit sales on Coupang are distorting market competition, damaging customer trust, creating severe legal vulnerabilities, and ultimately resulting in significant financial damage. Existing enforcement at Coupang is either heavily manual, or imprecise to trust for automated action. To tackle this problem, this role in GOOSE will help our stakeholders in commerce risk detection to build an intelligent and comprehensive counterfeit detection system at scale.
What You Will Do - Design and implement end-to-end ML systems for applications such as Commerce Risk Detection, Post Purchase Experiences, Logistics Compliance, etc. Formulate real-world business problems as ML problems. Expertise on classic ML algorithms, transformer-based models, neural net modes, etc.
- Drive innovation in Coupang eCommerce Operations using ML technologies. Drive and own ML vision and roadmap in large/complex projects.
- Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and/or MLflow, ensuring reproducibility, scalability, and operational excellence.
- Define and track key performance metrics to evaluate model impact and identify high-leverage opportunities for improvement.
- Closely collaborate with product, operations, and back-end engineers to align technical solutions with business goals and customer experience.
- Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning
Basic Qualifications - Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
- 8 years of professional experience in applied machine learning
- Experience in machine learning, deep learning, and statistical modeling
- Proficiency in Python and/or Java, with experience in building production grade ML systems
Preferred Qualifications - Master's or PhD in relevant technical fields
- Domain knowledge in fraud detection, customer support and/or logistics
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
- Demonstrated ability to work independently and manage ambiguity in fast-paced environments
- Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGMB, and/or H2o.ai
- Experience with ML lifecycle tools such as Airflow, MLflow, Kubeflow, and/or Amazon SageMaker.
Pay & BenefitsOur compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $159,000/year to $324,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.
General Description of All Benefits - Annual bonus is 0-20% of the base salary
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of Paid Time Off (PTO) a year based on the tenure
- 12 Paid Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV- [Free] Electric Car Charging Station
General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.
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.
