ByteDance

Responsibilities

Team Introduction

The Infrastructure NoSQL team based in Singapore caters to the needs of TikTok and its affiliated mid-platforms and business lines. The team operates on a vast scale, managing tens of thousands of servers and handling data that exceeds the petabyte level. The team has developed its own distributed KV/caching systems, globally distributed table storage systems, and large-scale graph database products. Utilizing cutting-edge hardware and software stack technology, they are dedicated to advancing the next generation of products continually.

Joining this team, you can look forward to a very structured training plan, as well as the opportunity to undertake a larger scope whilst giving enough space to grow and develop. We look forward to your application!

We are looking for talented individuals to join us for an internship in 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance.

Successful candidates must be able to commit to an internship for at least 3 months. Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

• Participate in the design and development of our self-developed distributed Graph Neural Network (GNN) training/inference systems over a large-scale graph dataset;
• Apply Graph Embedding/GNN into real-world application scenarios, including but not limited to risk control, etc.

Qualifications

Minimum Qualifications:

• Master's or PHD student in Computer Science or related fields
• Familiar with C++, and Python development in Linux environment, familiar with multi-threading, network programming, cloud-native K8S, and other technologies;
• Familiar with TensorFlow, PyTorch, and Ray framework;
• Possess good communication skills and the ability to work well in a team.

Preferred qualifications:

• Familiar with existing industry open source GE/GNN systems (e.g., DGL, PYG, Euler, GraphLearn, BigGraph, etc).
• Familiar with GNN algorithms, such GraphSage, GAT, Genipath

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com.