2 hours ago
Base Salary
$164k - $282k/yr
Responsibilities
- Design and build machine learning models and systems for ad targeting, ranking, bidding, and campaign performance.
- Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization.
- Apply LLMs, embeddings, agentic AI, and deep learning to complex advertising problems.
- Build scalable ML infrastructure and production systems for experimentation and reliable model deployment.
- Define success metrics, evaluate business impact, and improve model performance through data-driven experimentation.
- Partner with Product, Engineering, Data Science, and business teams on advertiser and customer problems.
- Drive projects from concept to production with ownership of technical and business outcomes.
- Mentor engineers and contribute to 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 production ML development experience using Python and/or Java.
- Strong experience with PyTorch and deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization.
- Proven ability to own large technical initiatives and solve complex, ambiguous business problems with measurable impact.
- Preferred: master’s degree or PhD in a related quantitative field.
- Preferred: experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale ML.
- Preferred: experience with LLMs, generative AI, embedding models, retrieval systems, or agentic AI.
- Preferred: experience with distributed training, model serving, and ML platforms in cloud environments.
- Preferred: familiarity with XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.
- Preferred: ability to drive technical strategy, communicate effectively, influence stakeholders, and collaborate across functions.
Benefits
- Base pay ranges from $164K/year to $282K/year depending on geographic market and job-related factors.
- Annual bonus of 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, flexible spending, and health savings account benefits.
- Employee Assistance Program and 401K plan with company match.
- 18–21 days of paid time off annually based on tenure and 12 public holidays.
- Six weeks of paid parental leave.
- Pre-tax commuter benefits and free electric vehicle charging station.
- Recruitment includes application review, phone interview, and onsite or virtual onsite interview; schedules may vary.
- The posting may close early if openings are filled.
Tech Stack
Categories
About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).