4 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 ad serving systems covering retrieval, ranking, auctions, targeting, pacing, and measurement.
- Drive modernization involving large language models, generative AI, real-time inference, and next-generation ML infrastructure.
- Lead strategic investments improving advertiser outcomes, customer experience, scalability, operational efficiency, and cost.
- Partner with engineering, machine learning, product, and business leaders to align technical direction with company objectives.
- Influence architecture and engineering excellence across 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, and system efficiency.
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 a user-facing machine learning 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 large language models, foundation models, retrieval-augmented generation, and production AI serving architectures.
- Deep knowledge of retrieval and ranking systems, relevance, personalization, candidate generation, experimentation, evaluation, and performance trade-offs.
- Demonstrated ability to drive 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 qualifications include advertising or sponsored search platforms, auction systems, e-commerce or consumer internet scale, real-time ML, recommendation systems, search infrastructure, personalization platforms, architectural transformation, and a PhD in a related field.
Benefits
- Medical, dental, vision, life, AD&D, disability, FSA, HSA, and Employee Assistance Program coverage.
- 401(k) plan with company match.
- 18–21 days of paid time off annually based on tenure and 12 public holidays.
- Paid parental leave and pre-tax commuter benefits.
- Free electric car charging station.
- Base pay range varies by US geographic market; the role is covered by benefits and may include additional bonus or equity compensation.
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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.