Research Scientist Intern - TikTok Core Recommendation - 2024 Off-Cycle (PhD)

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Team Introduction
TikTok-Data RecCore team is responsible for TikTok recommendation algorithms and directly responsible for TikTok core User Experience. Our work includes optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, improving algorithms in multiple academic fields such as CV/NLP, designing recommendation architectures for various scenarios, and conducting complex and in-depth analysis of product data. Here, you can delve into the improvement and optimization of Machine Learning algorithms, explore cutting-edge technologies, collaborate with teams from different countries around the world, experience the collision of different cultures, and stimulate cognition. Through in-depth analysis of product and content ecology, you can influence the future development direction of the product.

We are looking for talented individuals to join us for an internship in 2024. 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.

This Internship Program runs for 10-24 weeks. Candidates will apply for Off-Cycle Internship Program.

Applications will be reviewed on a rolling basis. We encourage you to apply early. 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.

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

• Improve recommendation models at massive scales, through applying state-of-art machine learning techniques across all ranking phases including but not limited to coldstart, retrieval, ranking and etc.
• Familiar with the academic advancements of recommendation models. Conduct cutting-edge application-driven research to explore the frontier of recommendation algorithmic domain. Validate the effectiveness of recommendation models using open-source datasets.

Qualifications

Minimum Qualifications:

• Currently pursuing a Ph.D degree in Computer Science or related fields
• Ability to work as intern for 10-24 weeks
  Preferred Qualifications
• Published papers in Top ML/AI conferences.
• Familiar with the academic advancements of recommendation models.
• Good academic writing skills.

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 https://shorturl.at/cdpT2

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.