Machine Learning Engineer Intern, Recommendation - 2025 Start

Responsibilities

About the Team

TikTok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for TikTok's hundreds of millions of global users. Here, you will collaborate with top algorithm engineers in the industry, leveraging your expertise in deep learning, recommendation algorithms, and large models to continuously transform and enhance the TikTok user experience and content ecosystem.

We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Build industry-leading content safety systems for TikTok;
• Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;
• Understand product objectives and improve trust and safety strategy and model's performance;
• Work with cross-functional teams to protect TikTok globally.
  
  

Qualifications

Minimum Qualification

• Undergraduate, or Postgraduate who is currently pursuing a degree/master in computer science or a related technical discipline;
• Solid experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision;
• Able to intern at least 4 days a week and for a duration of more than 6 months.
  
  

Preferred Qualification

• Experience in recommendation, search, advertising, or other related projects;
• Published papers in the top AI conferences or journals is a plus, including ICML, ICLR KDD, IJCAI, WWW, WSDM, NeurIPS, ACL, AAAI etc.;
• Competition experience in machine learning, data mining, NLP, etc.;
• Good understanding of data structures and algorithms;
• Passion for techniques and solving challenging problems.
  
  

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.