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Research Scientist Intern; Monetization Technology - Ads Core PhD Technology - Algorithm PhD Intern

Listing for: TikTok Inc.
Apprenticeship/Internship position Listed on 2026-11-09
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 68000 - 97000 USD Yearly USD 68000.00 97000.00 YEAR

Job Description & How to Apply Below

Position: Research Scientist Intern (Monetization Technology - Ads Core) - 2027 Start (PhD Technology - Algorithm PhD Intern -
Research Scientist Intern (Monetization Technology - Ads Core) - 2027 Start (PhD)

Location:

San Jose

Employment Type:

Intern

Job Code:

A255890

Responsibilities

Tik Tok Ads Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel. All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better returns.

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.

  • Assist in optimizing efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation.
  • Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation.
  • Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs.
  • Work with product and business teams from various scenarios with global impact.
Qualifications

Minimum Qualifications:

  • Currently pursuing a PhD in Computer Science, Mathematics, Statistics, or a related technical discipline.
  • Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
  • Good analytical thinking capability. Essential knowledge and skills in statistics.
  • Good theoretical grounding in deep learning concepts and techniques.
  • Familiar with architecture and implementation of at least one mainstream machine learning programming framework (Tensor Flow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.
Preferred Qualifications
  • Good knowledge in one of the following fields:
    Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning.
  • Basic understanding of large recommendation system and ads serving system concepts.
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…
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