Responsibilities

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 Tik Tok.

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 Tik Tok 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 Tik Tok's technical online assessment in Hacker Rank.

Key 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

Qualifications

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

Compensation and Benefits

Salary

The base salary range for this position in the selected city is $118,657 - $259,200 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive:

• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Los Angeles County (Unincorporated) Applicants

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
3. Exercising sound judgment