Machine Learning Engineer Graduate ( Recommendation BS​/MS

Position: Machine Learning Engineer Graduate (TikTok Recommendation-Live) - 2026 Start (BS/MS)
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Responsibilities

The recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast‑pacing, collaborative and impact‑driven.

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.

Job Responsibilities

• Build industry‑leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning

• Understand product objectives and machine learning techniques; improve model and recommendation strategy

• Understand user behavior and apply ML algorithms to optimize content consumption and production experience

• Understand content security strategy and apply ML algorithms to improve content audit process

• Work with cross‑functional teams to grow company’s product in important regional markets

Qualifications

• Minimum:
Bachelor/Master degree in computer science, computer engineering, information systems or a related technical discipline from a university

• Solid experience with data structures or algorithms

• Software development experience through hands‑on coding in a general purpose programming language

• Strong communication and teamwork skills; passion about technologies and solving challenging problems

Job Information

Compensation (Annual)

The base salary range for this position in the selected city is $118,657 - $187,200 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 and 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.

Equal Opportunity Statement

For Los Angeles County (unincorporated) Candidates:
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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

• Exercising sound…