Job Overview
Job description
- Location:
- Singapore
- Work arrangement:
- On-site
Software Test Engineer Intern (AI) - 2027 Start at TikTok in Singapore.
Responsibilities
The TikTok Engineering Test Team is dedicated to ensuring the quality, reliability, and security of TikTok's products at global scale. We partner closely with software engineers, algorithm engineers, and product teams to accelerate feature delivery while maintaining exceptional product quality.
Our team is redefining how quality assurance is built. We leverage Large Language Models (LLMs), AI agents, and intelligent automation to reimagine the entire testing lifecycle-from test design and execution to bug analysis, quality evaluation, and engineering productivity. Our mission is to build next-generation AI-powered testing capabilities that enable faster, smarter, and more scalable software delivery. Joining our team and working at the intersection of Software Engineering, Quality Engineering, and Generative AI, helping shape the future of AI-native software testing at TikTok.
- We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
- Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
- Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
- Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
- Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
- Work on quality and engineering efficiency initiatives leveraging LLMs, including change risk analysis, automated testing, search quality evaluation, and LLM security testing.
- Identify quality and engineering efficiency pain points in collaboration with software and algorithm engineering teams, propose practical optimization solutions, and drive their implementation to improve product quality and engineering efficiency.
- Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.
Requirements
Minimum Qualification(s)
- Currently pursuing a Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
- Strong interest in Generative AI and Large Language Models (LLMs), with an understanding of common LLM capabilities and real-world application scenarios.
- Passion for building high-quality products and driving end-to-end quality assurance through AI-powered testing technologies.
- Strong computer science fundamentals; familiar with one or more programming languages such as Java, Python, Objective-C, or Go, with experience in software development projects.
Preferred Qualification(s)
- Proficiency in one or more programming languages such as Java, Python, Go, or Objective-C.
- Experience in one or more testing domains, including test automation, performance testing, or test platform/tool development.
- Familiarity with distributed systems and a fundamental understanding of iOS and/or Android platforms.
- Experience developing test automation frameworks, testing platforms, or engineering productivity tools.
- Experience leveraging AI tools (e.g., LLMs, AI coding assistants, or AI agents) to improve testing efficiency, automate test case generation, perform bug analysis, or enhance software quality workflows.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
About the Company
The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.
At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.
We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.
This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.
- Role:
- Software Test Engineer Intern (AI) - 2027 Start
- Job Type:
- Internship | Software Engineering
Company profile
TikTok
tiktok.comTikTok operates a short-form mobile video platform where people create videos on their smartphones and share them with a community of viewers. Its feed recommends content tailored to each user, with communities around books, learning, gaming, food and sports. TikTok's global headquarters are in Los Angeles and Singapore, and the company has offices in Berlin, Dubai, Dublin, Jakarta, London, Mexico City, New York, Paris, Sao Paulo, San Jose, Seoul, Sydney and Tokyo.
- Headquarters
- Los Angeles, California, United StatesSingapore, Singapore
- Founded
- 2016