Job description

Please complete the attached Internal Transfer Request Form  and submit. Please make sure to apply with your Coupang e-mail address . We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Global 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 & Benefits Our 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 A nnual 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. 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 located below:  coupang.jobs C oupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com . R0079631 Please complete the attached Internal Transfer Request Form  and submit. Please make sure to apply with your Coupang e-mail address .

Requirements

Must-haves

Please complete the attached Internal Transfer Request Form  and submit.
Please make sure to apply with your Coupang e-mail address .
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
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
Please complete the attached Internal Transfer Request Form  and submit.

Nice-to-haves

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 & Benefits
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
A nnual bonus is 0-20% of the base salary
Medical/Dental/Vision/Life, AD&D insurance

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learningpythonjavaai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Parental Leave