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Software Development Engineer in Test Intern (QA) - 2027 Start (BS/MS)

InternContractHybridSydney NSW, AustraliaPosted 4 months agoVerified 3 weeks ago
Pending fitX of Y criteria met

About the job

The internship opportunity with the TikTok Engineering Test Team is all about quality assurance for innovative product features and protecting user data. This team is dedicated to delivering quality at speed, and you will play a vital role in refining the next-generation intelligent experience. Collaboration with engineering and algorithm teammates is key, as you embark on a journey to explore cutting-edge technologies and solutions.

You'll be responsible for

✅

Participating in quality assurance

Participating in quality assurance for TikTok’s Live LLM initiatives, and assisting in building the quality system for large model applications.
🛠️

Tool development

Taking part in tool development for the industry-leading test team during the AI transformation across all testing phases.
📈

Working on quality and efficiency projects

Working on quality and efficiency special projects based on LLM, including change control, automated testing, search effectiveness evaluation, and LLM security.

Key criteria

💻

Programming proficiency in Python, Go, Java, or C++

Solid foundation in at least one programming language for development tasks.

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🔍

Understanding of software engineering and testing processes

Basic knowledge of common testing methods and tools is essential.

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🚀

Strong learning ability and innovation awareness

Eagerness to explore new technologies and solve complex problems.

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Meet the team

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5 criteria for this job
Programming proficiency in Python, Go, Java, or C++
Solid foundation in at least one programming language for development tasks.

View

Understanding of software engineering and testing processes
Basic knowledge of common testing methods and tools is essential.

View

Strong learning ability and innovation awareness
Eagerness to explore new technologies and solve complex problems.

View

Collaboration and communication skills
Ability to work efficiently with cross-functional teams.

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Interest in AIGC and large models
Familiarity with mainstream application scenarios in AI-related projects.

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