ML Engineer Intern — Ads Delivery & Ranking Systems

TikTok; San Jose (CA); On-site; USD 51,000 - 73,000; Full time

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

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