Senior AI Infra Engineer, TikTok E-commerce Algorithm Architecture & Engineering

About the Team

We are the TikTok E-commerce Algorithm Architecture & Engineering team (USDS). Our mission is to supercharge the efficiency and effectiveness of e-commerce algorithm services. We build user-friendly tools, elegant architecture, and robust, high-performance systems that drive GMV growth for TikTok E-commerce. Join us in building the most advanced e-commerce LLM/ML system & infrastructure in the industry.

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.

Responsibilities

• System Architecture & Implementation: Lead the design, implementation, and operation of scalable, reliable, and high-performance ML/LLM infrastructure and systems.
• Cross-Functional Collaboration: Partner effectively across various teams, organizations, and internal/external stakeholders to drive complex engineering efforts and align technical strategies.
• Innovation: Drive technical innovation by identifying and integrating emerging technologies and novel ideas to keep our infrastructure at the cutting edge.

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• 3+ years of hands-on experience building, training, and deploying complex and scalable Machine Learning systems.
• Strong foundation in Computer Science, including algorithms, data structures, and software design patterns. Excellent problem-solving abilities.
• Solid programming skills with a strong understanding of ML/LLM system