Machine Learning Engineer Intern (TikTok-Data-Search-Local Service)

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TikTok

Inspire creativity, bring joy.

10,001+ employeesLos Angeles, CaliforniaEntertainment Providers
Actively hiringPaidEntertainment Providers
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Best applied by Nov 29

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About the role#

The Search team builds systems that help users find relevant and engaging content on TikTok. This role focuses on search retrieval, ranking, recommendation signals, and infrastructure. You will work with large-scale machine learning and distributed systems to improve search quality for our global user base.

What you'll do#

  • Design, implement, and test search features and tools with guidance from mentors.
  • Analyze large-scale data, logs, and metrics to understand user behavior and improve system quality.
  • Partner with engineering, product, and data science teams to define requirements and hit project milestones.
  • Write clear, maintainable code and keep documentation updated for your work.
  • Share progress, risks, and findings with stakeholders throughout the term.

What you'll need#

  • You are completing or have recently completed a PhD in Computer Science, Computer Engineering, Software Development, or a related field.
  • You can commit to 12 weeks of full-time work.
  • You have strong coding skills and a solid grasp of algorithms and data structures.
  • You have experience in areas like NLP, ranking, search engines, recommender systems, or distributed systems.
  • You are comfortable using data to investigate system or user problems.
  • You have experience with databases, data pipelines, or large-scale backend services.
  • You communicate technical ideas clearly and work well in teams.

Location & details#

  • Location: San Jose, California.
  • Modality: On-site.
  • Employment: Full-time internship.
  • Hiring process: Rolling basis.

About TikTok

TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.

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