Machine Learning Engineer Intern; Monetization Technology - Ads Core Global - Summer; BS Job San Jose area,California USA,IT/Tech

Position: Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2026 Summer (BS/[...]

Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2026 Summer (BS/MS)

Location:

San Jose

Employment Type:

Intern

Job Code: A60128A

Summer Start Dates

May 11th, 2026
May 18th, 2026
May 26th, 2026
June 8th, 2026
June 22nd, 2026

Team Overview

Tik Tok Ads Core ML Team aims to create automatic delivery products for the next generation and develop advertising as a global business, rather than just a monetization tool, to consolidate the delivery funnel framework allowing multiple teams to iterate in parallel. All of our efforts are to continuously pursue and establish a world‑leading ranking model & framework that always benefits our collaborators, users and customers to achieve better returns.

Internships at our company aim to offer students industry exposure and hands‑on experience.

Responsibilities

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 standards 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 an Undergraduate/Master Degree 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.

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 hourly rate range for this position in the selected city is $45- $60.

Benefits

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). Interns who are not working 100% remote may also be eligible for housing allowance.

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 judgment.

#J-18808-Ljbffr