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Machine Learning Engineer Intern (E-Commerce)

43$
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) (Python/Java/Go): Analyzing large-scale data, logs, metrics, and experiments to improve search behavior and product quality in TikTok's e-commerce platform with an accent on machine learning, data pipelines, and backend systems. Focus on investigating user and system problems, writing maintainable code, and collaborating with engineering, product, data science, and machine learning partners.

Location: Seattle, United States; fully in-person schedule up to 5 days a week

Salary: $42.75 per hour

Company

hirify.global operates data privacy, cybersecurity, trust, and safety programs for TikTok products and U.S. user data.

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 throughout the internship.

Requirements

  • Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
  • Available 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.
  • Interest in improving search experiences for large-scale consumer products.

Culture & Benefits

  • Hands-on experience and exposure to real-world e-commerce engineering challenges.
  • Social events, learning programs, and development workshops.
  • Health insurance, life insurance, and wellbeing benefits from day one.
  • Ten paid holidays and paid sick time.
  • Housing allowance may be available for interns who are not working 100% remotely.

Hiring process

  • Applications are reviewed on a rolling basis.
  • Include internship start and end dates in the resume.

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