7 дней назад
Principal Engineer, ML (AI)
207 900 - 386 100$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Engineer, ML (AI): Defining and evolving Coupang’s large-scale Ads Serving & ML Platform across retrieval, ranking, auctions, targeting, machine learning infrastructure, and online serving with an accent on real-time inference, generative AI, and platform scalability. Focus on designing mission-critical distributed systems, optimizing GPU- and CPU-based serving for latency and cost, and driving architecture across multiple organizations.
Location: Seattle, USA
Salary: $207,900–$386,100 per year, depending on geographic market, knowledge, skills, and experience.
Company
is a high-growth e-commerce company building large-scale shopping, food, and lifestyle services for South Korean commerce.
What you will do
- Define the long-term technical vision, architecture, and strategy for the Ads Serving & ML Platform.
- Design and evolve large-scale ad serving systems covering retrieval, ranking, auctions, targeting, pacing, and measurement.
- Drive adoption of large language models, generative AI, real-time inference, and next-generation ML infrastructure.
- Lead technical investments that improve customer relevance, advertiser outcomes, revenue, scalability, reliability, and cost efficiency.
- Partner with engineering, machine learning, product, and business leaders to align technical direction with company priorities.
- Influence architecture and engineering excellence across organizations through design reviews, mentorship, and technical leadership.
Requirements
- 12+ years of experience building large-scale software platforms, machine learning systems, or distributed infrastructure.
- Experience architecting and operating mission-critical, high-throughput online systems at internet scale.
- Deep expertise in advertising, search, recommendations, personalization, or another user-facing machine learning domain.
- Experience with model training, feature engineering, experimentation, online inference, evaluation, and production operations.
- Experience scaling AI/ML serving infrastructure and optimizing GPU- and CPU-based systems for latency, throughput, and cost.
- Strong software engineering skills in Java, C++, or Python; MS or above in Computer Science, Engineering, or a related discipline.
Nice to have
- Experience with advertising platforms, ad ranking, auction systems, or sponsored search.
- Background in e-commerce, marketplaces, recommendations, search infrastructure, or large-scale personalization.
- Experience leading architectural transformation or platform modernization across large organizations.
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Culture & Benefits
- Startup culture combined with the resources of a large global public company.
- Medical, dental, vision, life, AD&D, disability, FSA, and HSA benefits.
- 401K plan with company match.
- 18–21 days of paid time off based on tenure, 12 public holidays, and paid parental leave.
- Pre-tax commuter benefits and free electric car charging.
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