Graduate ML Engineer: Search & Personalization

TikTok; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Job summary

TikTok in San Jose is hiring a Machine Learning Engineer Graduate (TikTok-Data-Search-Search Quality) for a 2027 start. This full-time role offers the opportunity to contribute to TikTok's search engine by applying NLP, CV, and LLM techniques to improve relevance.

As part of the Search Engineering Team you will work on full-stack search systems, data pipelines, and experimentation, with onboarding by year-end.

Responsibilities

• 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.
• Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.

Job description

TikTok in San Jose is hiring a Machine Learning Engineer Graduate (TikTok-Data-Search-Search Quality) for a 2027 start. This full-time role offers the opportunity to contribute to TikTok's search engine by applying NLP, CV, and LLM techniques to improve relevance.

As part of the Search Engineering Team you will work on full-stack search systems, data pipelines, and experimentation, with onboarding by year-end.