Team Introduction: As an AI/ML software engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem, especially the data analysis and processing system based on AI/ML solutions utilizing large language models (LLMs). Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank. Responsibilities • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business; • Design and implement the data analysis and processing system based on AI/ML solutions utilizing large language models (LLMs); • Design and develop high performance computing frameworks and storage systems; • Establish solid design and best engineering practice for engineers as well as non-technical people.
Minimum Qualifications: • Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Python. • Projects or research experience in at least one area of the following areas: big data frameworks, large language models (LLMs), machine learning, distributed storage systems. • Effective communication skills, self-driven learner, a sense of ownership. • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
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