21 days ago
Base Salary
$152k - $277k/yr
Responsibilities
- Design features and build large-scale machine-learning models and systems for ad targeting, relevance, ranking, and engagement.
- Implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery.
- Advance search relevance and user-intent modeling using LLMs, embedding-based retrieval, vector search, and multimodal learning.
- Build and optimize scalable, reproducible ML pipelines using Apache Spark, Airflow, Kubeflow, and MLflow.
- Define and track performance metrics to evaluate model impact and identify improvement opportunities.
- Collaborate with product, engineering, and data science teams to align technical solutions with business goals.
- Mentor and develop engineering talent and promote technical excellence and continuous learning.
Requirements
- Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
- At least 7 years of professional experience in applied machine learning.
- Experience with machine learning, deep learning, statistical modeling, and production-grade ML systems.
- Proficiency in Python and/or Java.
- Preferred qualifications include a master’s degree or PhD, search or recommendation-engine experience, and experience with LLMs, embeddings, and vector search.
- Preferred experience includes AWS, Google Cloud Platform, Vertex AI, BigQuery, SageMaker, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, H2O.ai, MLflow, Kubeflow, and Weights & Biases.
- Ability to lead cross-functional teams, communicate complex technical concepts, work independently, and manage ambiguity in fast-paced environments.
Benefits
- Base pay is listed separately from total compensation; annual bonus opportunity is 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, FSA, HSA, EAP, and 401(k) with company match benefits.
- 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-car charging.
Tech Stack
Apache AirflowApache SparkAWSGoogle BigQueryGoogle Cloud PlatformH2O.aiJavaKerasLightGBMMLflowPythonPyTorchscikit-learnTensorFlowXGBoost
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).