Site Reliability Engineer, Applied Machine Learning - USDS

Responsibilities

About the Team:
Site Reliability Engineering (SRE) of the AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run massively distributed AI/ML systems like recommendation or LLM in the United States and around the world.

In the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis, and large-scale system operation, and get heavily involved in the process of hardware/capacity decision-making. SRE ensures that critical machine learning systems have the highest level of availability, as well as creating highly automated systems and pipelines.

Join us and you'll have the chance to shape the future of AML systems and make a real, tangible impact on Tik Tok users.

Responsibilities:

• Design, build, and maintain highly available, scalable, and fault-tolerant systems.
• Monitor and analyze system performance, identifying and resolving issues before causing user impact.
• Develop and maintain automated monitoring, alerting, and incident response systems.
• Collaborate closely with software engineering teams to ensure that applications are designed with reliability, scalability, and performance in mind.
• Implement and maintain security best practices and ensure compliance with regulatory requirements.
• Provide additional support as this role is part of a team that provides 24/7 support and requires working scheduled shifts, which may include holidays
• Conduct root cause analysis of incidents, hold post-mortem reviews with stakeholders, and implement preventative measures to minimize the risk of similar incidents occurring in the future.

Qualifications

Minimum Qualifications:

• Expertise in analyzing and troubleshooting Linux-based distributed systems.
• Bachelor's/Master's degree in Computer Science, Computer Engineering, or equivalent years of experience in a SRE or software engineering role.
• Experience programming with at least one commonly used language (C, C++, Python, Go).
• Strong understanding of data structures and algorithms.
• Competent knowledge of relational database systems.

Preferred Qualifications:

• Ability to design and maintain large-scale systems.
• Strong understanding of code optimization and routine task automation.
• Proficiency in at least one machine learning framework:
  Tensor Flow, PyTorch, MXNet or Paddle Paddle

About USDS

Tik Tok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm.

We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.

On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.

Why Join Us

Inspiring creativity is at the core of Tik Tok'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…