Machine Learning MLOps Intern (Global SRE) - 2027 Summer San Jose Undergraduate/Master Intern - 2027 Start

TikTok; San Jose (CA); Hybrid; USD 62,000 - 83,000; Part time

Benefits offered by this job

Health insurance

Wellbeing benefits

Housing allowance

Job summary

TikTok in San Jose offers an internship focused on ML infrastructure and SRE. You will help define SLOs for online inference, support offline training pipelines, and contribute to capacity planning and performance optimization.

As a CS student, you’ll gain hands-on experience with MLOps platforms, GPU/CPU resource management, and framework deployments under experienced engineers. On-site internship with benefits and housing support for eligible interns.

Qualifications

• Pursuing a Bachelor's degree in CS or related field.
• Strong Linux, networking and storage fundamentals.
• Proficient in Python/Go/C/C++ or Java.
• Experience troubleshooting production systems or services.
• Effective communication and ownership mindset.

Responsibilities

• Define and drive SLOs for online ML inference systems and ensure reliability.
• Ensure reliability of offline ML training pipelines and improve training success.
• Drive capacity planning and resource management for ML workloads and optimize GPU/CPU utilization.
• Lead enablement of new ML frameworks and GPU platforms for large-scale deployment.
• Design, build and maintain MLOps platforms and automation tools (quota management, monitoring, diagnostics, observability).

Skills

Linux

Networking

Python

Go

C

C++

Java

Communication

Ownership

Education

Bachelor’s degree in Computer Science or related

Tools

Linux tooling

Job description

Location:

San Jose

Employment Type:

Intern

Job Code:

A200690

Responsibilities

• Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services
• Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates
• Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization
• Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance
• Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling

Qualifications

Minimum Qualifications

• Currently pursuing a Bachelor’s degree in Computer Science or a related discipline.
• Expertise in Linux operating systems, networking, storage.
• Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
• Experience in troubleshooting application issues, or production operations.
• Effective communication skills and a sense of ownership and drive.

Preferred Qualifications

• Experience in SRE internship for large-scale advertising, recommendation, search systems, or large-scale cloud platforms.

Job Information

The hourly rate range for this position in the selected city is $45- $60.

Benefits

• 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:

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 https://tinyurl.com/RA-request

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