Large Model Knowledge System Architecture Engineer, ByteRec

TIKTOK PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology company in Singapore is seeking a skilled professional to optimize knowledge systems and contribute to the development of large model architecture. The ideal candidate should have a Bachelor's Degree in Computer Science and solid programming skills, particularly in Python. Responsibilities include designing solutions and exploring innovative applications in MultiModal Machine Learning. This position offers meal allowance as a perk.

Benefits

Meal allowance

Qualifications

• Solid programming skills, familiar with Python language, good code design style and coding ability.
• Understanding of the RAG field and design paradigms of large model RAG knowledge systems.
• Interest in the implementation of large model applications.

Responsibilities

• Optimize the architecture of the knowledge system around large models.
• Participate in the technical solution design and development of large model RAG architecture.
• Provide a general-purpose domain Knowledge Base solution based on large models.
• Explore the design and development of MultiModal Machine Learning Knowledge Base.

Skills

Programming skills

Familiarity with Python

Problem-solving ability

Education

Bachelor’s Degree in Computer Science or related fields

Job description

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.

Job highlights

• Meal allowance

Responsibilities

• 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;
• 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;
• 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;
• Explore the design and development of the MultiModal Machine Learning Knowledge Base;

Minimum Qualifications

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

Preferred Qualification

• Experience in participating and contributing to open source communities