Job description

Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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 In Growth Marketing, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang’s growth. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others.You will play a critical role in driving innovation in Machine Learning enablement of Growth / Marketing platforms. You will design & develop end to end machine learning solutions to drive impact across our portfolio of platforms. You will collaborate with various Growth Marketing teams to build and deploy ML models & services that will directly help grow customers, increase wallet share and improve ROAS. This is an exceptional opportunity to drive Coupang’s growth and create a world where our customers ask, ‘How did I ever live without Coupang?’ What You Will Do Drive end-to-end Engineering and Machine learning methods that have a high degree of ambiguity, scale and complexity Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production. Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. Present results and explain methods to the leadership. Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field 8 years working experience in the engineering teams that build large-scale ML- driven user-facing products Demonstrated experience in building and maintaining highly available, distributed systems Preferred Qualifications Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work. Experience in closely collaborating with other engineering teams to ship new ML technologies. The ideal candidate will possess the self-motivation, curiosity, creativity and initiative to achieve goals. Extensive knowledge in deep learning Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc. Hands-on experience training and applying models at scale. Proficient coding skills in Java, C++ or Python 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 $152,00/year to $261,000/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 Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public 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 range or wage scale. 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: coupang.jobs Coupang 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 . Job Requisition ID: R0076831

Requirements

Must-haves

Company Introduction
Drive end-to-end Engineering and Machine learning methods that have a high degree of ambiguity, scale and complexity
Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production.
Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
Present results and explain methods to the leadership.
Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company.
Bachelor's degree in Computer Science, Electrical Engineering, Math, or a closely related field
8 years working experience in the engineering teams that build large-scale ML- driven user-facing products
Demonstrated experience in building and maintaining highly available, distributed systems

Nice-to-haves

Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship new ML technologies.
The ideal candidate will possess the self-motivation, curiosity, creativity and initiative to achieve goals.
Extensive knowledge in deep learning
Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc.
Hands-on experience training and applying models at scale.
Proficient coding skills in Java, C++ or Python
Pay & Benefits
The base pay for this position ranges from $152,00/year to $261,000/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
Medical/Dental/Vision/Life, AD&D insurance
Flexible Spending Accounts (FSA) & Health Savings Account (HSA)

Application prep

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

Keywords to mirror

mlmachine learningjavapython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Parental Leave