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Software Engineer Graduate; Video-on-Demand Algorithm

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Full Time position
Listed on 2026-09-18
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 128000 - 316800 USD Yearly USD 128000.00 316800.00 YEAR
Job Description & How to Apply Below

Discover a career that energizes and excites you every day.

@2026 Tik Tok

Technology

Software Engineer Graduate (Video-on-Demand Algorithm) - 2027 Start

Location:

San Jose

Employment Type:

Regular

Job Code:

A241969A

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Responsibilities

About the team

The Video-on-Demand (VoD) Algorithm team is responsible for optimizing the app experience related to performance for Tik Tok users. This team collaborates with all teams within and beyond the VoD team, to provide algorithmic support for end-to-end optimization solutions, including video shooting, uploading, processing, delivery, and playback, etc.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis.

  • Design and implement media streaming-related algorithms to improve Tik Tok user experience. Examples include video preloading, adaptive bitrate streaming (A ), network bandwidth estimation, CDN traffic allocation, and transport-layer algorithms, to name a few.
  • Contribute to end-to-end media ecosystem design to improve the algorithmization of the multimedia system.
  • Run controlled experiments on millions of streaming sessions to validate improvements.
Qualifications
  • Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computing Engineering or a related discipline.
  • Industry or academic experience in the multimedia or network domain.
  • Proven ability to develop new algorithms and identify problems in existing solutions.
  • Fluent in statistics and data analysis.
  • Experience with shipping software on behalf of a major brand at scale is a big plus.
  • Experience with learning-based model development is a big plus.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:

Job Information

The base salary range for this position in the selected city is $128000 - $316800 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 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.

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…

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