Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2027 Summer

TikTok

San Jose (CA)

On-site

USD 51,000 - 73,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Housing allowance
Paid holidays
Paid sick time

Job summary

TikTok is offering an internship with the Ads Core ML Team in California, providing hands-on experience in building automatic delivery products and advancing advertising as a global business. Interns gain exposure to cross‑functional collaboration and real-world challenges, while developing a strong foundation for growth.

Interns will work on optimizing ad funnel efficiency, exploring frontier technologies in ML/DL, RL, and LLM, and will participate in ongoing development workshops and social

Qualifications

  • Currently pursuing a Bachelor's in Computer Science, Mathematics, Statistics, or a related technical discipline.
  • Solid programming skills in C/C++ and Python with knowledge of data structures and algorithms.
  • Familiar with Linux development environment and basic statistics.

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 using ML/DL, RL, LLM, and scaling laws in ads recommendation.
  • Design & set up system framework and standards to improve efficiency and meet various vertical business needs.
  • Collaborate with product and business teams across scenarios with global impact.

Skills

C/C++
Python
Data structures
Algorithms
Linux
Statistics
Deep learning
ML frameworks

Education

Bachelor's in Computer Science/Math/Statistics

Tools

TensorFlow
PyTorch
MXNet

Job description

Responsibilities

TikTok 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.

TikTok 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. Our internship program offers students hands‑on experience, industry exposure, and opportunities to apply their knowledge to real‑world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

  • 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 Bachelor's 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 (TensorFlow/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

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

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

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:

  • 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.
About TikTok

TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

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