3 hours ago
Base Salary
$208k - $386k/yr
Responsibilities
- Define and drive the long-term technical vision, architecture, and strategy for the Ads Serving & ML Platform.
- Lead the design and evolution of large-scale advertising systems covering retrieval, ranking, auction, targeting, pacing, and measurement.
- Drive modernization involving large language models, generative AI, real-time inference, and next-generation ML infrastructure.
- Lead strategic technical investments that improve advertiser outcomes, customer experience, scalability, operational efficiency, and revenue.
- Partner with engineering, machine learning, product, and business leaders to align technical direction with company priorities.
- Influence architecture and engineering practices across multiple organizations through technical leadership, design reviews, and mentorship.
- Establish best practices for reliability, performance, scalability, observability, and operational excellence.
- Drive measurable improvements in engagement, conversion, relevance, advertiser ROI, revenue growth, system efficiency, and cost.
- Serve as a recognized technical leader and domain expert in large-scale advertising systems and machine learning platforms.
Requirements
- 12+ years of experience building large-scale software platforms, machine learning systems, or distributed infrastructure.
- Proven experience architecting and operating mission-critical, high-throughput online systems at internet scale.
- Deep expertise in at least one user-facing ML domain such as advertising, search, recommendations, or personalization.
- Strong understanding of model training, feature engineering, experimentation, online inference, evaluation, and production operations.
- Experience building and scaling AI/ML serving infrastructure, including GPU- and CPU-based optimization for latency, throughput, and cost.
- Strong understanding of LLMs, foundation models, RAG, and production AI serving architectures.
- Deep knowledge of retrieval and ranking systems, relevance, personalization, candidate generation, ranking, experimentation, and model evaluation.
- Demonstrated ability to create significant business impact through technical innovation and platform evolution.
- Ability to influence technical direction across multiple teams and organizations without direct authority.
- Strong software engineering skills in Java, C++, or Python.
- Experience developing distributed systems that process and serve large-scale datasets with high availability and low latency.
- MS or higher in Computer Science, Engineering, or a related technical discipline.
- Preferred: experience with large-scale advertising, ad ranking, auction, sponsored search, e-commerce, marketplaces, consumer internet, real-time ML, recommendation systems, search infrastructure, personalization platforms, architectural transformation, or high-growth technology companies.
- Preferred: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Benefits
- 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.
- 401K plan with company match.
- 18–21 days of paid time off per year based on tenure.
- 12 public holidays and paid parental leave.
- Pre-tax commuter benefits.
- Free electric car charging station.
- Base pay ranges from $207,900 to $386,100 per year across US geographic markets; additional compensation may include bonuses or equity.
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).