(General Hire) Machine Learning Scientist Intern, TikTok Recommendation (TikTok-Data) - 2025 Su[...]

Responsibilities

Interested in this role You can find all the relevant information in the description below.

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us : Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity;

to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together.

That's how we drive impact - for ourselves, our company, and the communities we serve.

Powered by world-class machine learning technology, the TikTok Live Recommendation Team aims at providing the best livestream watching experience on the platform.

We build algorithms to recommend the most relevant livestreams to users and help to grow a wholesome livestream 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.

Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths.

A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

It runs for 12-24 weeks and begins in May / June 2025 or August / September 2025. Successful candidates must be able to commit to one of the following start dates below :

Select below options for Summer

• Monday, May 12
• Monday, May 19
• Tuesday, May 27 (Memorial Day May 27)
• Monday, June 9
• Monday, June 23

Select below options for Fall

• Monday, August 11
• Monday, August 25
• Monday, September 8
• Monday, September 22

Please state your availability clearly in your resume (Start date, End date).

Responsibilities :

• Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
• Deliver end-to-end machine learning solution to address critical product challenges;
• Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance;
• Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

Qualifications

Minimum Qualifications :

• Currently pursuing a PhD with a background in computer science, machine learning, or similar fields;
• Good knowledge of theoretical and empirical research in addressing research problems;
• Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures.

Preferred Qualifications :

• Research experience in one or more of the following fields : applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
• Strong first-author publications record in top AI conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);
• Proficient in C / C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design;
• Internship experience in an AI research organization.

General Hire : If you see the general hire in the title of this position, it means that the position is for multiple departments.

After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring team based on your resume.

The department this position is considered for include but not limited to : Data-Live, Data-Plus, and Data-Responsible Recommendation System.

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.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at this link.

Job Information : For Pay Transparency

For Pay Transparency

The hourly rate range for this position in the selected city is $75- $75. We cover 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire.

Medical coverage only, no dental or vision coverage.

Our time off and leave plans are : Paid holidays and paid sick leave. The sick leave entitlement is based on the time you join.

We also provide mental and emotional health benefits through our Employee Assistance Program and provide reimbursements for your mobile phone expense.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates :

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment :

• Interacting and occasionally having unsupervised contact with internal / external clients and / or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
• Exercising sound judgment.

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