Software Engineer Intern: Recommendation Infra & Performance

TikTok Inc.; San Jose (CA); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Social events

Job summary

TikTok Inc. is seeking motivated interns to join the Recommendation System Infrastructure team.

You will work on large-scale online serving and data infrastructure powering TikTok's recommendation products globally, gaining hands-on experience in high-performance systems and modern data pipelines. You'll collaborate with cross-functional teams, contribute to performance optimization, cost efficiency, and reliability, and participate in social events, learning programs, and development workshops

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
• Strong programming skills in at least one systems programming language, such as C++, C, Go, or Java.
• Experience in building scalable backend systems, distributed systems, infrastructure systems, or high-performance online services.
• Solid understanding of data structures, algorithms, operating systems, networking, and distributed system fundamentals.
• Experience with performance analysis, system debugging, reliability improvement, or large-scale service optimization.
• Strong ownership, problem-solving ability, and communication skills.
• Ability to work effectively with cross-functional teams, including infrastructure teams, recommendation algorithm teams, and product/business-facing engineering teams.

Responsibilities

• Design, build, and optimize high-performance online serving systems for large-scale global recommendation systems, improving business ROI, system efficiency, and serving quality.
• Improve the efficiency, reliability, scalability, and cross-regional consistency of recommendation system infrastructure.
• Identify and resolve system performance bottlenecks across CPU, memory, bandwidth, GPU compute efficiency, serving latency, throughput, and resource allocation efficiency.
• Drive cost optimization for large-scale recommendation serving, including business-impact-based cost efficiency, compute resource utilization, and infrastructure-level or strategy-level performance improvements.
• Build reliable and efficient workflows and pipelines for automation on candidate generation, profile generation, feature processing, training data generation, and online development.

Skills

C++

C

Go

Java

Distributed systems

Backend systems

System programming

Education

Bachelor's degree in Computer Science or related

Master's degree in Computer Science or related

Job description

TikTok Inc. is seeking motivated interns to join the Recommendation System Infrastructure team.

You will work on large-scale online serving and data infrastructure powering TikTok's recommendation products globally, gaining hands-on experience in high-performance systems and modern data pipelines. You'll collaborate with cross-functional teams, contribute to performance optimization, cost efficiency, and reliability, and participate in social events, learning programs, and development workshops