2 months ago
Base Salary
$152k - $277k/yr
Responsibilities
- Design features and build large-scale ML models and systems for ad targeting, relevance, ranking, and engagement
- Implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery
- Apply transformer-based models, contrastive learning, vector search, LLMs, embeddings, and multimodal learning to search relevance and user-intent modeling
- 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 on technical solutions and customer experience
- 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
- Master’s or PhD in a relevant technical field preferred
- Experience with search systems, information retrieval, or recommendation engines preferred
- Experience with LLMs, embeddings, and vector search technologies preferred
- Experience with AWS or Google Cloud Platform, including Vertex AI, BigQuery, or SageMaker preferred
- Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, or H2O.ai preferred
- Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker preferred
- Ability to lead cross-functional teams and deliver results in a multicultural, global organization
- Strong communication skills for explaining complex technical concepts to technical and non-technical stakeholders
- Ability to work independently and manage ambiguity in fast-paced environments
Benefits
- Medical, dental, vision, life, and AD&D insurance
- Flexible Spending Accounts and Health Savings Account
- Long-term and short-term disability coverage
- Employee Assistance Program
- 401(k) plan with company match
- 18–21 days of paid time off annually based on tenure
- 12 public holidays
- Six weeks of paid parental leave
- Pre-tax commuter benefits
- Free electric car charging station
Tech Stack
Apache AirflowApache SparkGoogle 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).