Jobs in the United States

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Added 1 min ago
Forward Deployed AI Engineer
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Added 3 mins ago
Software Engineer, AWS Parallel Computing Service
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Added 11 mins ago
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Coupang Internal

Staff Machine Learning Engineer

United States

Apply on boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Experience: 4 years of professional experience in applied machine learning
Posting language: English
Posted: Nov 10, 2026

Original 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 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

As a Staff Machine Learning Engineer for the Coupang Media Group (CMG) - Ads Quality & Ranking, you will be responsible for designing and deploying state-of-the-art machine learning models, ranking algorithms, and optimization systems powering our advertising platform.

The Coupang Media Group provides vendors and advertisers with high-impact marketing products and services directly within our e-commerce marketplace. Operating at internet scale - handling over 1 billion daily ad impressions - our platform covers complex engineering challenges across real-time behavioral targeting, automated auctioning and bidding, click-through rate (CTR) / conversion rate (CVR) prediction, and search-based advertising. In this role, you will lead the transition of our ad quality stack toward enterprise-grade ML infrastructure and extend our footprint across full-stack ad tech solutions.

What You Will Do

ML System Design & Ads Ranking

Model Development: Architect, build, and deploy large-scale machine learning and deep learning models to optimize ad targeting, relevance, ranking, and user engagement.
Algorithmic Innovation: Develop advanced techniques for automated mechanisms, including auto-bidding algorithms, query expansion, and advertiser ROI optimization models.
Marketplace Intelligence: Design systems that provide actionable suggestions and insights to advertisers, enabling them to identify growth opportunities within the Coupang marketplace.

Architecture & System Scalability

Infrastructure Strategy: Architect and evolve our end-to-end machine learning platform to serve high-throughput, low-latency ad requests at internet scale.
Technical Quality & Rigor: Maintain high standards for code quality, system reliability, and automated testing across complex distributed machine learning pipelines.

Leadership & Collaboration

Cross-Team Leadership: Lead large-scale technical projects spanning multiple engineering teams, aligning technical roadmaps with business objectives.
Mentorship: Provide technical guidance, code reviews, and architectural mentorship to mid-level and senior engineers.
Cross-Functional Partnering: Collaborate closely with Product Management, Data Science, and Business Leadership to design and deliver next-generation advertising features.

Basic Qualifications

Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
4 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 Qualification

Master’s or PhD in relevant technical fields
Experience with search systems, information retrieval or recommendation engines
Experience with LLMs, embeddings, and vector search technologies
Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
Experience working in startup or high-growth environments
Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai
Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work independently and manage ambiguity in fast-paced environments

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

Application Review - Job Fit Interview - Focus 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: https://www.coupang.jobs/privacy-policy/

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.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Job Requisition ID: R0081671

Please complete the attached Internal Transfer Request Form and submit.

Please make sure to apply with your Coupang e-mail address.

Apply on boards.greenhouse.io About employer

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Jobs in the United States