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Job Description

Join Coupang Media Group (CMG) to define and build next-generation machine learning systems and AI-native advertising capabilities for Offsite Ads.

Responsibilities

  • Design and build machine learning models and systems to improve ad targeting, ranking, bidding, and campaign performance for Coupang Offsite Ads.
  • Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization.
  • Apply modern AI approaches (including LLMs, embeddings, agentic AI, and deep learning) to solve complex advertising problems.
  • Build scalable ML infrastructure and production systems that support rapid experimentation and reliable model deployment.
  • Define success metrics, evaluate business impact, and improve model performance using data-driven experimentation.
  • Partner with Product, Engineering, Data Science, and business teams to address high-impact customer and advertiser problems.
  • Lead projects from concept to production with strong ownership and accountability for business outcomes.
  • Mentor engineers and help build a culture of technical excellence, innovation, and continuous learning.

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
  • 6+ years of industry experience developing and deploying machine learning solutions in production environments.
  • Strong foundation in machine learning, deep learning, statistical modeling, optimization, and large-scale data systems.
  • Hands-on experience building production-grade ML systems using Python and/or Java.
  • Strong experience with PyTorch and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization problems.
  • Ability to solve complex and ambiguous business problems through data-driven analysis and machine learning innovation.
  • Track record of owning large technical initiatives and delivering measurable business impact.

Preferred Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
  • Experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale machine learning.
  • Experience with modern AI technologies including LLMs, generative AI, embedding models, retrieval systems, or agentic AI.
  • Expertise in PyTorch and building large-scale production machine learning systems.
  • Experience with distributed training, model serving, and ML platforms in cloud environments.
  • Familiarity with ML tools and frameworks such as PyTorch, XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.
  • Strong communication and collaboration skills, with the ability to influence stakeholders across multiple functions.
  • Comfort working in a fast-paced, high-growth environment with ownership and customer focus.

Technologies

  • Python, Java, PyTorch
  • LLMs, embeddings, agentic AI, deep learning
  • CTR, CVR, GMV
  • XGBoost, LightGBM, Scikit-learn
  • MLflow, Kubeflow, Spark, Airflow

Pay & Benefits

  • Base pay range for Staff position: $164,000/year to $282,000/year.
  • Annual bonus: 0-20% of base salary.
  • Medical/Dental/Vision/Life, AD&D insurance.
  • Flexible Spending Accounts (FSA) and Health Savings Account (HSA).
  • Long-term/Short-term Disability.
  • Employee Assistance Program (EAP) program.
  • 401K Plan with Company Match.
  • Paid Time Off (PTO): 18-21 days per year based on tenure.
  • 12 Public Holidays.
  • 6 weeks Paid Parental leave.
  • Pre-tax commuter benefits.
  • MTV - [Free] Electric Car Charging Station.
  • Other Compensation may include bonuses, equity, or other forms of compensation in addition to base salary range.

Recruitment Process

  • Application Review → Phone Interview → Onsite (or Virtual Onsite) Interview → Offer
  • Exact process may vary and may change due to scheduling or other circumstances.
  • Interview schedules and results are communicated via the email provided at application stage.

Additional Details

  • This posting may be closed prior to the stated application end date if all openings are filled.
  • Coupang may rescind an offer if a candidate submitted false information as part of the application process.
  • Certain candidates eligible for employment protection (for example, veterans’ benefits recipients and disabled individuals) may receive preferential treatment according to applicable laws.
  • Personal information is collected and managed per Coupang’s Application Privacy Notice: https://www.coupang.jobs/privacy-policy/
  • Reasonable accommodation for disability during the recruiting process can be requested at [email protected].
  • Requisition ID: R0078849.

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