Model System Architecture Engineer, ByteRec

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok'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.

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, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Tik Tok, 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.

• Meal allowance

The Volcano Engine Vector Database Knowledge Base team supports both internal and ToB customer requirements. We are responsible for the massive content processing of the Volcano Engine large model knowledge base and the effect tuning, evaluation and monitoring, and algorithm architecture optimization of the retrieval system architecture. We also provides technical solutions in framework construction, new feature delivery, and vertical solution construction, including:

• 1. Optimize the architecture of the knowledge system around the capabilities of large models and knowledge bases, and design and reconstruct the measurement system and industry delivery system for the capabilities of the knowledge system;
• 2. Participate in the technical solution design and development of the framework and middleware of the large model RAG architecture to achieve the feature delivery and demand support of the Public Cloud product;
• 3. Based on the application scenarios of large models, link up and down the ecosystem, provide a general-purpose domain Knowledge Base solution, encapsulate common patterns and processes, and provide stable external service capabilities;
• 4. Explore the design and development of the Multi Modal Machine Learning Knowledge Base;

• 1. Bachelor’s Degree in Computer Science or related fields
• 2. Solid programming skills, familiar with Python language, good code design style and coding ability, and good ability to solve practical problems;
• 3. Have a certain understanding of the RAG field, understand the common design paradigms of large model RAG knowledge systems, have basic understanding of large model application frameworks, and have interest and enthusiasm for the implementation of large model applications;

• 1. Experience in participating and contributing to open source communities