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# Software Engineer Graduate (Data Arch - AI/ML Infrastructure

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Experience:** Starter
- **Salary:** $162,000.0 - $316,800.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Big Data, C++ (Programming Language), Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Online Service Provider, Recommender Systems, High Performance Computing, Information Technology, Machine Learning Operations, Data Pipelines, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.themuse.com/jobs/tiktok/software-engineer-graduate-data-arch-aiml-infrastructure-2026-start-phd

## About the Role

* PhD's degree (or expected by 2026) in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
 * Research background in ML/AI, with a focus on inference optimization, model acceleration, or efficient ML systems.
 * Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Python.
 * Problem-solving skills, self-driven learning mindset, and effective communication.

Preferred Qualifications:

 * Demonstrated ability to translate research into practical system implementations.
 * Experience (academic or practical) in areas such as recommendation systems, search, distributed systems, or big data processing.

## Description

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most stable and best experience for our TikTok users. University graduates are important parts to our team with your fresh ideas and creative thoughts., * Build and maintain high performance online services for TikTok recommendation system to support various types of products, such as For You Feed, E-commerce, Social, etc., * Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;

 * Build globalized large-scale recommendation system;
 * Design and develop high performance computing frameworks and storage systems.