1 day ago
Base Salary
$152k - $277k/yr
Responsibilities
- Design features and build large-scale machine learning models and systems for relevance, ranking, personalization, and engagement.
- Implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery.
- Use LLMs, embedding-based retrieval, vector search, transformer-based models, contrastive learning, and multimodal learning to improve search relevance and user intent modeling.
- Build and optimize scalable ML pipelines and real-time model-serving systems for billions of interaction records and petabytes of log data.
- Define performance metrics, evaluate model impact, and identify opportunities for improvement.
- Collaborate with product, engineering, and data science teams to align technical solutions with business goals.
- Mentor and grow engineering talent and promote technical excellence, experimentation, and continuous learning.
Requirements
- Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
- At least 4 years of professional experience in applied machine learning.
- Experience with machine learning, deep learning, and statistical modeling.
- Proficiency in Python and/or Java and experience building production-grade ML systems.
- Preferred experience with search systems, information retrieval, recommendation engines, LLMs, embeddings, and vector search technologies.
- Preferred experience with AWS, Google Cloud Platform, Vertex AI, BigQuery, or SageMaker.
- Preferred hands-on experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, H2O.ai, MLflow, Kubeflow, or Weights & Biases.
- Ability to lead cross-functional teams, communicate complex technical concepts, work independently, and manage ambiguity.
Benefits
- Annual bonus opportunity of 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, FSA, HSA, and Employee Assistance Program benefits.
- 401(k) 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.
Tech Stack
Apache AirflowApache SparkAWSGoogle BigQueryGoogle Cloud PlatformH2O.aiJavaKerasLightGBMMLflowPythonPyTorchscikit-learnTensorFlowXGBoost
Categories
Data EngineeringML Engineering
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).