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6 дней назад

Machine Learning Engineer Intern (E-Commerce) - 2027 Summer

45$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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
Machine Learning Engineer Intern (E-Commerce) - 2027 Summer (Machine Learning/E-Commerce): Analyzing large-scale data, logs, metrics, and experiments to improve search behavior and product quality with an accent on data-driven problem solving and maintainable engineering. Focus on investigating user and system problems, collaborating with engineering and product partners, and building experience with data pipelines, distributed systems, and large-scale backend services.

Location: San Jose, United States; fully in-person attendance up to 5 days a week

Salary: $45 per hour

Company

hirify.global operates TikTok-related applications with a focus on U.S. user data security, privacy, cybersecurity, trust, and safety.

What you will do

  • Analyze large-scale data, logs, metrics, and experiments to understand user search behavior and improve product or system quality.
  • Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.
  • Write clear, maintainable code and documentation for assigned workstreams.
  • Communicate progress, risks, and learnings with mentors and stakeholders.

Requirements

  • Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
  • Availability for a 12-week Summer 2027 internship.
  • Familiarity with at least one programming language, such as JavaScript, TypeScript, Python, Java, Go, or a similar language.
  • Strong problem-solving skills, attention to detail, and willingness to learn from feedback.
  • Interest in developer platforms, full-stack engineering, or AI-assisted development tools.

Nice to have

  • Currently pursuing a Master's degree in a related technical field.
  • Familiarity with databases, distributed systems, data pipelines, experimentation, or large-scale backend services.
  • Experience using data to investigate product, user, or system problems.
  • Clear communication of technical ideas and experience collaborating with cross-functional partners.
  • Interest in improving search experiences for large-scale consumer products.

Culture & Benefits

  • Hands-on experience and exposure to real-world engineering challenges.
  • Social events, learning programs, and development workshops.
  • Health insurance, life insurance, and wellbeing benefits from the first day.
  • Ten paid holidays and paid sick time.
  • Housing allowance may be available for interns who are not working 100% remotely.
  • Inclusive workplace focused on creativity, curiosity, collaboration, and continuous learning.

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