13 hours 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 with Apache Spark, Airflow, Kubeflow, and MLflow.
- Process billions of user interaction records and petabytes of raw log files into consumable data objects.
- Serve complex machine learning models in real time for millions of customers.
- Define and track performance metrics, identify improvement opportunities, and align technical solutions with business goals.
- Collaborate with product, engineering, and data science teams and mentor engineering talent.
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, statistical modeling, and production-grade ML systems.
- Proficiency in Python and/or Java.
- Preferred qualifications include a master’s or PhD, experience with search, information retrieval, recommendation engines, LLMs, embeddings, vector search, and cloud platforms.
- 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 ranges from $152K/year to $277K/year depending on geographic market, knowledge, skills, and experience.
- Annual bonus opportunity of 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, FSA, HSA, EAP, and 401(k) benefits with company match.
- 18–21 days of paid time off annually based on tenure, 12 public holidays, and six weeks of paid parental leave.
- Pre-tax commuter benefits and free electric car charging stations.
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).