3 months ago
Base Salary
$152k - $277k/yr
Responsibilities
- Design features and large-scale machine learning models and systems for ad targeting, relevance, ranking, and engagement.
- Build ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery.
- Develop search relevance and user intent modeling using LLMs, embedding-based retrieval, vector search, and multimodal learning.
- Build and optimize scalable ML pipelines with 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 grow engineering talent while promoting technical excellence and continuous learning.
Requirements
- Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
- At least seven 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.
- Preferred experience with AWS, Google Cloud Platform, Vertex AI, BigQuery, or SageMaker.
- Preferred hands-on experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGMB, and H2O.ai.
- Preferred experience with ML lifecycle tools including MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker.
- Preferred experience in startup or high-growth environments and leading cross-functional teams.
- Strong communication skills and the ability to work independently and manage ambiguity are preferred.
Benefits
- Annual bonus opportunity
- Medical, dental, vision, life, AD&D, disability, and employee assistance program benefits
- Flexible Spending Accounts and Health Savings Account
- 401(k) plan with company match
- 18–21 days of paid time off based on tenure
- 12 public holidays
- Six weeks of paid parental leave
- Pre-tax commuter benefits
- Free electric vehicle charging station
Tech Stack
Apache AirflowApache SparkAWSGoogle BigQueryGoogle Cloud PlatformH2O.aiJavaKerasMLflowPythonPyTorchscikit-learnTensorFlowXGBoost
Categories
About Coupang
Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.