12 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.
- Apply transformer-based models, contrastive learning, vector search, LLMs, embedding-based retrieval, and multimodal learning to improve search and discovery.
- Build and optimize scalable, reproducible ML pipelines and real-time model-serving systems.
- 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 business goals.
- Mentor and grow engineering talent and promote 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: master’s or PhD in a relevant technical field.
- Preferred: experience with search systems, information retrieval, recommendation engines, LLMs, embeddings, vector search, cloud platforms, and modern ML frameworks.
- Preferred: experience with ML lifecycle tools including MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker.
- Preferred: experience leading cross-functional teams in startup or high-growth environments and communicating complex technical concepts to technical and non-technical stakeholders.
Benefits
- Base pay ranges from $152K/year to $277K/year depending on geographic market, knowledge, skills, and experience.
- Annual bonus of 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, FSA, HSA, EAP, and 401(k) with company match benefits.
- 18–21 days of paid time off annually based on tenure and 12 public holidays.
- Six weeks of paid parental leave and pre-tax commuter benefits.
- Free electric car charging station.
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).