1 day ago
Base Salary
$164k - $282k/yr
Responsibilities
- Architect, build, and deploy large-scale machine learning and deep learning models for ad targeting, relevance, ranking, and user engagement.
- Develop auto-bidding, query expansion, and advertiser ROI optimization algorithms.
- Design marketplace intelligence systems that provide actionable growth insights to advertisers.
- Architect and evolve end-to-end ML infrastructure for high-throughput, low-latency advertising requests at internet scale.
- Maintain code quality, system reliability, and automated testing across distributed ML pipelines.
- Lead large-scale technical projects spanning multiple engineering teams and align roadmaps with business objectives.
- Provide technical guidance, code reviews, and architectural mentorship to mid-level and senior engineers.
- Collaborate with Product Management, Data Science, and business leadership on advertising features.
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, and vector search technologies.
- Preferred: experience with AWS, Google Cloud Platform, Vertex AI, BigQuery, or SageMaker.
- Preferred: hands-on experience with TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, and H2O.ai.
- Preferred: experience with MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker.
- Preferred: experience in startup or high-growth environments and leading cross-functional teams in global organizations.
- Preferred: strong communication skills and the ability to work independently and manage ambiguity.
Benefits
- Base pay ranges from $164,000/year to $282,000/year depending on geographic market, knowledge, skills, and experience.
- Annual bonus opportunity of 0–20% of base salary.
- Medical, dental, vision, life, and AD&D insurance.
- Flexible Spending Accounts and Health Savings Account.
- Long-term and short-term disability coverage and Employee Assistance Program.
- 401(k) plan with company match.
- 18–21 days of paid time off annually based on tenure and 12 paid holidays.
- Paid parental leave and pre-tax commuter benefits.
- Free electric car charging station.
Tech Stack
AWSGoogle 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).