ML-Driven Search Engineer: Large-Scale Retrieval & Ranking

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 123,000 - 259,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Job summary

TikTok USDS Joint Venture LLC is seeking a backend-focused Search Engineer to help build and own TikTok's search engine. You will work on full-stack search systems, blending information retrieval techniques with machine learning from NLP, CV, and recommender domains.

Join a team that values curiosity, problem-solving, and collaboration as it moves toward an in-person, high-speed execution model across US teams.

Qualifications

• BS degree in CS/CE or related major.
• 1+ years experience building large-scale consumer services / backend systems.
• Proficiency in C/C++, Python, Java or Golang.
• Effective team communication and collaboration.

Responsibilities

• Optimize the searching quality to provide TikTok's users the best search experience.
• Apply ML and IR techniques to improve search quality and perception.
• Build core systems and algorithms including query understanding, result ranking, and system reliability.

Skills

C/C++

Python

Java

Golang

Team communication

Education

BS degree in CS/CE or related major

Tools

Hadoop

Spark

Flink

Job description

TikTok USDS Joint Venture LLC is seeking a backend-focused Search Engineer to help build and own TikTok's search engine. You will work on full-stack search systems, blending information retrieval techniques with machine learning from NLP, CV, and recommender domains.

Join a team that values curiosity, problem-solving, and collaboration as it moves toward an in-person, high-speed execution model across US teams.