Recommendation Systems Engineer for Scalable Online Services

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 360,000; Full time

Benefits offered by this job

Medical insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok USDS Joint Venture LLC is seeking an experienced engineer to help build and optimize our recommendation architecture for the TikTok platform. You will create high-performance services and scalable data pipelines powering candidate generation, profile creation, and real-time training.

The role emphasizes building a globalized, large-scale recommendation system and efficient storage and computation frameworks in a fast-paced in-person environment.

Qualifications

• BS or higher in Computer Science or related field.
• 3+ years of experience building scalable systems.
• Programming experience in C, C++, Java or Golang.

Responsibilities

• Build and maintain high performance online services for TikTok recommendation system.
• Develop efficient data pipelines for candidates generation, profile generation, and real-time online training.
• Create globalized, large-scale recommendation systems and design high-performance computing frameworks.

Skills

C

C++

Java

Golang

Education

Bachelor’s degree or above in Computer Science or related field

Job description

TikTok USDS Joint Venture LLC is seeking an experienced engineer to help build and optimize our recommendation architecture for the TikTok platform. You will create high-performance services and scalable data pipelines powering candidate generation, profile creation, and real-time training.

The role emphasizes building a globalized, large-scale recommendation system and efficient storage and computation frameworks in a fast-paced in-person environment.