Software Test Engineer Intern (AI) - 2027 Start
Aug 4, 2026 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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.
Responsibilities
- 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.
Qualifications
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
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.
Responsibilities
- 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.
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
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.
Responsibilities
- 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.
Qualifications
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
Responsibilities
ResponsibilitiesThe 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.
Responsibilities
- 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.
Qualifications
QualificationsMinimum 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
Additional Information
- Posted: Aug 4, 2026