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Engineer (AI Lab)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
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
Engineer (AI Lab) (AI/Cybersecurity): Applying practical and state-of-the-art AI algorithms to cybersecurity products with an accent on large-scale deep learning, experimentation, and machine learning operations. Focus on designing experiments, processing large volumes of data, and collaborating across teams to develop customer-focused security solutions.

Location: Taipei, Taiwan

Company

hirify.global develops cybersecurity software and cloud security solutions for customers worldwide.

What you will do

  • Monitor emerging AI developments and identify practical applications in cybersecurity.
  • Train large-scale deep learning models and manage extensive experiment workflows.
  • Design experiments and apply machine learning, data mining, and statistical methods to security problems.
  • Explore state-of-the-art algorithms that align with product strategy and create customer value.
  • Collaborate with teams across the organization on AI and cybersecurity initiatives.

Requirements

  • At least 4 years of industry experience in a data-related domain.
  • Strong computer science fundamentals, including algorithms, data structures, data modeling, and system programming.
  • Broad knowledge of statistics, data mining, machine learning, and artificial intelligence algorithms.
  • Experience with MLOps and cross-team collaboration.
  • Outstanding analytical and problem-solving skills, with the ability to design experiments.

Nice to have

  • Research papers published at AAAI, NeurIPS, ICML, ICLR, or KDD.
  • Experience processing large volumes of data with tools such as Apache Spark, EMR, or Airflow.

Culture & Benefits

  • Work within a global cybersecurity organization with its primary research and development base in Taiwan.
  • Apply AI research and engineering to protect connected digital environments.

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