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TikTok

Machine Learning Engineer Project Intern (Recommendation) - 2027 Start

9 days ago• Singapore

About us

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

★ 4.5 out of 5 · 6 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Consumer Internet
View company profile ›

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

About the TikTok Data Team
Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
- Understand product objectives and machine learning techniques; improve model and recommendation strategy;
- Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
- Understand content security strategy and apply ML algorithms to improve content audit process;
- Work with cross functional teams to grow company's product in important regional markets.

Qualifications

Minimum Qualifications:
- Individuals who are pursuing Bachelor's degree in computer science or a related discipline.
- Solid experience with data structures or algorithms
- Software development experience through hands on coding in a general purpose programming language
- Strong communication and teamwork skills
- Passion about technologies and solving challenging problems

Preferred Qualification:
- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas

Responsibilities

Responsibilities

About the TikTok Data Team
Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
- Understand product objectives and machine learning techniques; improve model and recommendation strategy;
- Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
- Understand content security strategy and apply ML algorithms to improve content audit process;
- Work with cross functional teams to grow company's product in important regional markets.

Qualifications

Qualifications

Minimum Qualifications:
- Individuals who are pursuing Bachelor's degree in computer science or a related discipline.
- Solid experience with data structures or algorithms
- Software development experience through hands on coding in a general purpose programming language
- Strong communication and teamwork skills
- Passion about technologies and solving challenging problems

Preferred Qualification:
- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas

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Additional Information

  • Posted: 9 days ago
Apply on company site
Apply on company site

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