Machine Learning Engineer Intern (Infrastructure Platform) - 2026 Start (PhD)

  • San Jose, CA
  • Posted 3 days ago | Updated moments ago

Overview

On Site
USD 60.00 - 60.00 per hour
Full Time

Skills

Distribution
Asset Management
Systems Engineering
Fleet Management
Finance
Regulatory Compliance
Agile
Policies and Procedures
AIM
Research
Emerging Technologies
SAP BASIS
PASS
Screening
Data Analysis
Predictive Modelling
Analytics
Capacity Management
Data Centers
Cloud Computing
Computer Science
Operations Research
Mathematics
Optimization
Time Series
Forecasting
Regression Analysis
Clustering
Python
Data Processing
Pandas
NumPy
Deep Learning
TensorFlow
PyTorch
scikit-learn
SQL
Collaboration
Teamwork
Communication
Dynamics
Server Administration
IaaS
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Grafana
Network Engineering
Artificial Intelligence
IT Operations
Machine Learning (ML)
Statistics
Distributed Computing
Apache Spark
Big Data
Extract
Transform
Load
Health Insurance
Life Insurance
Management
Information Technology
Video
LOS
Recruiting

Job Details

Responsibilities

Our Infrastructure Engineering organization builds and operates hyper-scale datacenters, manages the life cycle of server assets, allocates cloud resources and creates various cloud solutions, and provides infrastructure services including widely distributed Content Distribution Networks (CDNs). The Infrastructure Platform team builds and leverage various platforms and toolings to manage and interact with our infrastructures and services, including end-to-end capacity delivery, asset management, data center infrastructure management, system engineering, server fleet management, financial operation, governance, risk, and compliance, etc. To support fast growth and improve operation efficiency, these platforms need to be feature rich, easy to use, scalable, agile and compliant with policies and procedures. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Fall Start Dates: - August 10th, 2026 - August 24th, 2026 - September 8th, 2026 - September 21st, 2026 Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment. Responsibilities: This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: - Apply technical expertise in large-scale data analysis, experimentation, predictive modeling, and performance analytics to support business and infrastructure capacity planning, improve service performance and stability, optimize cost and utilization of data centers, cloud services and networks. - Assist cross-functional teams in prioritizing infrastructure development, optimizing server performance, and setting measurable objectives, diagnose performance bottlenecks, and drive continuous improvements to enhance TikTok's infrastructure stability and growth.

Qualifications

Minimum Qualifications: - Must be able to commit to a 12-week full-time work period during Fall 2026 - Currently pursuing a PhD degree in Artificial Intelligence, Computer Science, Operations Research, Automation, Statistics, Mathematics, or a related technical discipline -Strong proficiency in machine learning and statistics, including convex optimization, time series forecasting, regression, classification, clustering, anomaly detection, etc. - Proficiency in Python with excellent coding skills; familiarity with data processing libraries (Pandas, NumPy); and experience with at least one ML/deep learning framework (TensorFlow, PyTorch, or Scikit-learn) - Basic proficiency in SQL for querying structured datasets. Preferred Qualifications - Strong teamwork and communication skills - Published papers in ML/AI conferences (NeurIPS, ICML, AAAI) or data center-focused conferences (IEEE Data Center Dynamics) or experience in ML competitions (Kaggle) is preferred - Knowledge of data center operations (e.g., server maintenance, cooling systems), cloud infrastructure (AWS/Azure/Google Cloud Platform), monitoring tools (Prometheus, Grafana), or network engineering is a plus - Experience building or supporting AI bots/LLM-powered tools for technical operations is a plus - Familiarity with machine learning/statistics fundamentals, distributed computing frameworks (e.g., Apache Spark), and big data engineering practices (e.g., data pipeline building) is a plus

Job Information

[For Pay Transparency]Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $60- $60.

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:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.