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General ) Machine Learning Engineer Intern; Monetization PhD) S

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Apprenticeship/Internship position
Listed on 2026-09-18
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 60 USD Hourly USD 60.00 HOUR
Job Description & How to Apply Below

Discover a career that energizes and excites you every day.

@2026 Tik Tok

Technology

(General Hire) Machine Learning Engineer Intern (Performance Monetization) - 2027 Start (PhD)

Location:

San Jose

Employment Type:

Intern

Job Code:

A55808B

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Responsibilities
  • Global Monetization Product and Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like Tik Tok.
  • Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.
  • We are looking for talented individuals to join us for an internship.
  • PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
  • Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
  • Applications will be reviewed on a rolling basis, so we encourage you to apply early.
  • Please clearly state your availability in your resume (Start date, End date).
  • What is the General Hire?
  • If you're applying under the General HIre track for the GMPT-Performance Monetization organization, your resume will be reviewed by all the subteams, and we'll help identify one or more teams that are the best match for you.
  • Why General Hire?
  • This process gives you broader exposure and increases your chances of finding the right team fit!
Qualifications
  • Minimum Qualifications:

    - Currently pursuing a PhD in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline.

    - Experience in and good theoretical grounding in machine learning concepts and techniques.

    - Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to:
    Go, C/C++, Python.

    - Experience in one or more of the following frameworks:
    Tensorflow/PyTorch/MXNet, etc
    - Ability to think critically and to formulate solutions to problems in a clear and concise way.
  • Preferred Qualifications:

    - Ads system, recommendation, searching, ranking, etc.
Job Information
  • The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

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 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; and

3. Exercising sound judgment.

About Tik Tok

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