Graduate ML Engineer — Data-Search & Ranking

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Paid parental leave

Short-term disability

Long-term disability

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok is seeking a Machine Learning Engineer Graduate for a 2027 start in San Jose. You will contribute to TikTok's search engine by integrating NLP, CV, and LLM techniques to deliver highly relevant results and scalable systems.

You will join a team that builds full-stack search components, data pipelines, and ML-driven ranking to enhance user search experiences and personalization, with opportunities for bold ideas and growth.

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 is seeking a Machine Learning Engineer Graduate for a 2027 start in San Jose. You will contribute to TikTok's search engine by integrating NLP, CV, and LLM techniques to deliver highly relevant results and scalable systems.

You will join a team that builds full-stack search components, data pipelines, and ML-driven ranking to enhance user search experiences and personalization, with opportunities for bold ideas and growth.