Software Engineer Intern (ML Infra) - 2027 Start (PhD)

Software Engineer Intern (ML Infra) - 2027 Start (PhD) at TikTok in San Jose, CA.

Responsibilities

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 Ads Infra team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.

• 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.
• Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
• Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
• Develop and optimize advertising recommendation models, covering training, evaluation, inference and user behavior sequence modeling.
• Build large-scale data pipelines for sample generation and joining, feature processing, storage and data quality assurance.
• Develop ML platforms for distributed training, model distribution, online serving and lifecycle management.
• Explore MLLM applications in advertising, including data production, model training, fine-tuning and inference optimization.
• Apply AI agents to workflow orchestration, resource scheduling, failure diagnosis and automated operations.
• Build machine learning platforms for GPU allocation, scheduling, usage metering, cost accounting and utilization optimization.

Requirements

• Currently pursuing a PhD degree in Computer Science, AI, Machine Learning or a related discipline.
• Proficiency in at least one programming language, such as C++, Python, Go or Java.
• Solid knowledge of data structures, algorithms, machine learning and computer systems.
• Familiarity with recommendation systems, MLLMs, distributed systems, ML platforms or large-scale data processing.
• Experience with deep learning frameworks, distributed training, GPU scheduling, AI agents or cloud-native technologies is a plus.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.