Backend Software Engineer - Recommendation Content Understanding Architecture

TIKTOK PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Benefits offered by this job

Meal allowance

Job summary

TikTok Singapore is looking for a software engineer to join the Recommendation Architecture Middle - Platform Team. You will help design and implement the multi-modal content understanding pipeline, focusing on reliability and performance across large-scale data.

You will collaborate with the algorithm team to advance vector-based retrieval and model inference, ensuring high availability and scalable architecture across our products.

Qualifications

• BS in CS or related field required with 3+ years of experience.
• Strong programming skills in Python/C++ and good coding practices.
• Excellent communication and collaborative abilities.

Responsibilities

• Develop and iterate the multi-modal content understanding pipeline.
• Improve service availability, throughput, and storage aspects of the system.
• Collaborate with algorithms team on vector retrieval and model inference.

Skills

Python

C++

Coding style

Problem solving

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

CUDA

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

About The Team

The Recommendation Architecture Middle - Platform Team is responsible for system architecture design in the fields of content understanding and content security for our company's products. The scope of work includes the design and development of the entire process of massive multi-modal content processing, retrieval, and sorting, ensuring the high availability of the system, and pursuing flexible abstraction and sustainable iteration.

Responsibilities

• Be responsible for the service construction and iteration of the multi-modal content understanding pipeline, solve core problems such as service availability, throughput and storage bottlenecks, and improve the development efficiency of new features.
• Regarding the repetition and similarity issues of massive video content, closely collaborate with the algorithm team to continuously promote the application of industry-leading video representation models and large-scale vector retrieval technologies at the business level, and overcome engineering problems during the implementation process.
• Abstract and enrich the multi-modal vector computing components, optimize the model inference performance of vector computing, enhance the stability, performance, and scalability of the system, and strengthen platform-wide integration.

Qualifications

Minimum Qualifications

• Bachelor's Degree in Computer Science or related fields, with at least 3 years of relevant experience;
• Have solid programming skills and basic computer knowledge, be familiar with Python/C++, have excellent design and coding styles, and possess strong abilities to solve practical problems.
• Have good communication and collaboration skills, be enthusiastic about solving challenging problems, and be able to explore new technologies with the team to promote technological development.

Preferred Qualification

• Have development experience related to recommendation, search, and advertising. Have experience in recall and ranking systems.
• Have basic machine learning knowledge, be familiar with mainstream machine learning frameworks (PyTorch/TensorFlow). Have experience in high-performance computing or CUDA development.