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7 дней назад

Principal Engineer, ML (AI)

207 900 - 386 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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