ML Engineer Graduate, TikTok Social -2025 Start(PhD)

San Jose, California, United States

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Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth.We are the Social Algorithms Team at TikTok, with a core objective of raising the long-term potential of our product through the development of social features. It has already been proven that social engagement is one of the most critical direction for our product's growth.Our team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact . The team is fast-pacing, collaborative and impact-driven.

We are looking for talented MLE engineers and research scientists to join our team in 2025, who are excited about growing their business understanding, building scalable and high-performance models and systems, and partnering across disciplines with global teams, in pursuit of excellence.

Responsibilities
1. Develop an industry-leading recommendation system aimed at enhancing the user social experience on TikTok. This system will help users discover and connect with both old and new friends, fostering a sense of community and enjoyment on the platform.
2. Deliver end-to-end machine learning solution to address critical product challenges;
3. Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
4. Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Machine Learning PhD Research

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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