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3 дня назад

Software Engineer Intern (AI)

Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer Intern (AI): Developing features for a financial crime prevention platform with an accent on fraud detection and production-grade systems. Focus on implementing clean code, improving detection logic, and applying generative AI to real-world security challenges.

Location: On-site 4 days in Santa Clara, CA. Must be based in or able to work from the California Bay Area during the internship period.

Company

Global innovation powerhouse in AI, cloud, and digital software, providing financial crime prevention and customer experience tools to Fortune 100 corporations.

What you will do

  • Design and build features for a financial crime prevention platform.
  • Write clean, efficient, and maintainable code in a collaborative environment.
  • Use generative AI assistants to enhance productivity and code quality.
  • Participate in code reviews, testing, and debugging.
  • Analyze data to improve detection logic and system performance.
  • Apply AI/ML and generative AI to solve real-world fraud detection problems.

Requirements

  • Currently pursuing a Bachelor’s degree or higher in Computer Science or a related field.
  • Completed at least 2 years of coursework (rising junior or above).
  • Strong fundamentals in data structures, algorithms, and software design.
  • Proficiency in at least one programming language such as Java or Python.
  • Must be based in or able to work from the California Bay Area during the internship period.

hirify.global-to-have">hirify.global to have

  • Familiarity with SQL or NoSQL databases.
  • Exposure to backend development, APIs, or distributed systems.
  • Interest in AI/ML or generative AI applications.
  • Experience with version control systems like Git.

Culture & Benefits

  • Opportunity to work on real-world problems in fraud detection.
  • Collaboration with experienced engineers on production-grade systems.
  • Exposure to practical applications of generative AI.
  • Ambitious, high-standards environment focused on innovation and game-changing results.

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