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4 месяца назад

Machine Learning Engineer II (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Engineer II (AI): Building a state-of-the-art machine learning system for programmatic advertising with an accent on designing models, data pipelines, and scalable model servers for real-world, large-scale problems. Focus on creating custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies.

Location: Onsite in Seoul, South Korea

Company

hirify.global builds powerful AI advertising solutions and a planet-scale machine learning platform to democratize access to advanced AI.

What you will do

  • Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
  • Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
  • Develop highly scalable model servers on cloud platforms.
  • Work with product, account, and infrastructure engineering teams to define future product roadmaps.

Requirements

  • 2+ years of software development experiences in Machine Learning or Deep Learning related areas.
  • Fluent with one or more programming languages including Python, Java, and Golang.
  • Knowledgeable with production-level machine learning applications including natural language processing, computer vision, recommendation systems, and ranking systems.
  • Experience in building a highly scalable model or online service system.

Nice to have

  • MS or Ph.D. degree in Computer Science or related technical field.

Culture & Benefits

  • Foster a culture of inclusion, authenticity, and belonging.
  • Values include leading with humility, an uncapped growth mindset, creating real value, and going further together.
  • Offer innovative benefits that empower employees to take care of themselves and their families.
  • Commitment to diversity and equal opportunity.

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