Graduate Software Engineer - Recommendation Systems

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

Benefits offered by this job

Medical, dental, vision insurance

401(k) company match

Paid parental leave

Short-term and long-term disability

Job summary

TikTok Inc. is seeking Software Engineers for the Recommendation Architecture Team to design and optimize the recommendation system architecture across TikTok's verticals. You will help improve stability, availability, and performance of online services and data flows.

You will collaborate with ML engineers to productionize models, build high-availability services, and optimize latency and costs while ensuring scalable architectures for high-traffic environments.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Proficient in at least one language: Go, C++, Java, or Python.
• Strong fundamentals in data structures, algorithms, OS, networking and distributed systems.

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

Education

Bachelor’s degree in Computer Science

Tools

Redis

Kafka

Job description

TikTok Inc. is seeking Software Engineers for the Recommendation Architecture Team to design and optimize the recommendation system architecture across TikTok's verticals. You will help improve stability, availability, and performance of online services and data flows.

You will collaborate with ML engineers to productionize models, build high-availability services, and optimize latency and costs while ensuring scalable architectures for high-traffic environments.