Graduate Backend Engineer – Recommendation Architecture

TikTok; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Parental leave

Paid holidays

Job summary

TikTok is seeking graduates to join the Recommendation Architecture Team to design and optimize the recommendation system for vertical businesses. The role focuses on stable, high-availability architectures and efficient data flows.

Successful candidates should be ready to commit to onboarding by year-end and clearly state their availability and graduation date in their resume. Apply early, as rolling reviews are used globally.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Strong programming skills with Go, C++, Java, or Python.
• Solid understanding of data structures, algorithms, operating systems, computer networking, and distributed systems design.

Responsibilities

• Participate in the design of the recommendation system to enhance development efficiency, performance, scalability, and recommendation effectiveness.
• Build and maintain high-performance, high-availability online services (retrieval, ranking orchestration, feature and index services) for the TikTok recommendation system.
• Build efficient and reliable data pipelines for candidate generation, profile generation, and training-example generation.
• Pursue extreme performance optimization in the storage layer, computing layer, or application layer; optimize latency (P99), throughput, and resource cost at scale.
• Troubleshoot production issues and build mechanisms that ensure operational stability, including capacity planning, disaster recovery, and monitoring.
• Collaborate with machine learning engineers to productionize models efficiently and safely.

Skills

Go

C++

Java

Python

Distributed systems

Education

Bachelor's degree in Computer Science or related

Tools

Redis

Kafka

Job description

TikTok is seeking graduates to join the Recommendation Architecture Team to design and optimize the recommendation system for vertical businesses. The role focuses on stable, high-availability architectures and efficient data flows.

Successful candidates should be ready to commit to onboarding by year-end and clearly state their availability and graduation date in their resume. Apply early, as rolling reviews are used globally.