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# Software Engineer, Ads ML Infrastructure - USDS

- **Company:** Tiktok Usds
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Structures, Machine Learning, Remote Direct Memory Access, Tensorflow, Software Engineering, Data Processing, High Performance Computing, Pytorch, Information Technology, Hardware Acceleration, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_6ed9f97c1ac5a357a6de969dd7c549b7

## About the Role

* Bachelor's degree or above, major in computer science or related technical disciplines.
 * 3+ years of hands-on experience in building and training complex and scalable machine learning systems.
 * Understand mainstream machine learning frameworks (TensorFlow, PyTorch, etc) and technologies including High Performance Computing, Applied ML models (MLP/Transformer/MoE), ML Hardware Acceleration (e.g., GPU/RDMA).
 * Strong Computer Science fundamentals (coding, algorithms, data structures, software design) and problem-solving skills.
 * Ability to think critically and to formulate solutions to problems in a clear and concise way;
 * Effective communication skills and a sense of ownership and drive.
 * Experience in managing projects., * Experience in Ads domain.
 * Experience with building large-scale ranking and machine learning infrastructure.
 * Experience of Peta Byte level data processing.

## Description

About the team

The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The USDS Ads Infra team is responsible for building highly efficient, scalable and stable infrastructure to support Ads machine learning, ranking and big data systems.

We are seeking innovative Software Engineers to join our team. You will drive key technical projects and play a pivotal role in elevating our engineering capabilities.

 * Drive projects committed to building, optimizing and operating machine learning frameworks to empower large-scale Ads machine learning models training and serving.
 * Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
 * Drive the innovation efforts, and bring in new ideas and technologies.