13 hours 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.
- Apply transformer-based models, contrastive learning, vector search, large language models, embeddings, and multimodal learning to improve search relevance and user intent modeling.
- Build and optimize scalable ML pipelines and serve complex ML models in real time.
- Process billions of user interaction records and petabytes of raw log data into data objects usable by engineers and scientists.
- 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 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 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.
- Preferred experience with AWS, Google Cloud Platform, 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 including MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker.
- Preferred master’s or PhD in a relevant technical field, startup or high-growth experience, and the ability to lead cross-functional teams.
- Strong communication skills and the ability to work independently and manage ambiguity are preferred.
Benefits
- Annual bonus 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 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).