About this role
Full Time Entry-level Machine Learning Engineer Graduate (Data-Search-TikTok) - 2026 Start (PhD) in AI at TikTok in San Jose, California, United States. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- San Jose, California, United States
- Experience
- Entry-level
Core stack
- Machine Learning
- Onboarding
- NLP
- LLM
Quick answers
What skills are required?
Machine Learning, Onboarding, NLP, LLM.
TikTok is hiring for this role. Visit career page
San Jose, United States
About the team
On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Responsibilities:
Participate in the improvement of the search core algorithm, possible directions include:
• Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.
• User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of "relevant", and understand users better.
• Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.
On the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Responsibilities:
Participate in the improvement of the search core algorithm, possible directions include:
• Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.
• User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of "relevant", and understand users better.
• Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.
Job details
Workplace
Office
Location
San Jose, California, United States
Job type
Full Time
Experience
Entry-level
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