Senior Software Engineer, Ads Ranking Infra - USDS

Senior Software Engineer, Ads Ranking Infra - USDS

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About the team

The Ads System at Tik Tok 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 USDS Ads Infra team is responsible for building highly efficient, scalable and stable infrastructure to support Ads machine learning, ranking and big data systems.

We are seeking innovative Software Engineers to drive our technology forward. You will spearhead key projects and elevate the team through strong technical leadership.

In order to enhance collaboration and cross‑functional partnerships, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

• Lead projects committed to building, optimizing and operating large‑scale ranking systems that serve billions of daily ads with low latency and high precision.
• Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross‑functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.

Minimum Qualifications

• Bachelor's degree or above, major in computer science or related technical disciplines.
• 4+ years of hands‑on experience in building large‑scale ads serving, recommendation, ranking, or search systems.
• Strong Computer Science fundamentals (coding, algorithms, data structures, software design) and problem‑solving skills.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.
• Effective communication skills and a sense of ownership and drive.
• Experience in managing projects.

Preferred Qualifications

• Experience in Ads domain.
• Experience with building large‑scale ranking and machine learning infrastructure.
• Experience of Peta‑Byte level data processing.

Tik Tok is the leading destination for short‑form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of Tik Tok in the U.S. This new, security‑first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the Tik Tok platform and U.S. user data, so millions of Americans can continue turning to Tik Tok to learn something new, earn a living, express themselves creatively, or be entertained.

The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

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 ourselves, our company, and our users.

When we create and grow together, the possibilities are limitless. Join us.

Tik Tok is committed to creating an inclusive space where employees are valued for their skills,…