Senior Software Engineer - Real-Time Recommendation Systems

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 480,000; Full time

Job summary

TikTok Inc. is seeking an experienced software engineer to architect, build, and optimize large-scale ranking systems that deliver billions of daily recommendations with low latency.

You will design scalable ranking frameworks, collaborate with ML engineers to productionize models, and push performance optimizations across CPU/GPU, memory, and networking. Join a team focused on technical excellence and reliable systems for a fast-paced, data-driven product used by millions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
• Experience in building large-scale recommendation, ranking, or search systems.
• Experience in C++, Go, or Python, and with distributed computing frameworks.
• Solid understanding of ranking algorithms, machine learning inference systems, and system performance optimization.

Responsibilities

• Architect, build, and optimize large-scale ranking systems that serve billions of daily recommendations with low latency and high precision.
• Design flexible, efficient, and scalable ranking frameworks to support evolving ML models and features.
• Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
• Analyze system bottlenecks and apply performance optimizations at the framework and infrastructure level (CPU/GPU, memory, storage, networking).
• Drive technical excellence and best practices in software design, code quality, and system reliability.

Skills

Ranking algorithms

ML inference

C++/Go/Python

Distributed computing

Education

Bachelor's or Master's in CS/EE or related

Job description

TikTok Inc. is seeking an experienced software engineer to architect, build, and optimize large-scale ranking systems that deliver billions of daily recommendations with low latency.

You will design scalable ranking frameworks, collaborate with ML engineers to productionize models, and push performance optimizations across CPU/GPU, memory, and networking. Join a team focused on technical excellence and reliable systems for a fast-paced, data-driven product used by millions.