Backend Software Engineer - Inference Optimization

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading social media platform is seeking a skilled engineer in Singapore to optimize algorithm applications and enhance machine learning capabilities across various business scenarios. Key responsibilities include architectural design, development, and performance tuning of algorithms. The ideal candidate holds a Bachelor's degree in Computer Science or related fields, and has expertise in C/C++, Python, or Go along with experience in Tensorflow or Pytorch. The company fosters an inclusive environment valuing diverse perspectives and backgrounds.

Qualifications

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience.
• Master at least one of C/C++, Python, Go in a Linux environment.
• Expertise in a state-of-the-art machine learning framework (e.g., Tensorflow, Pytorch).
• Strong analytical abilities and problem-solving skills.

Responsibilities

• Optimize integration plans for algorithm applications across business scenarios.
• Responsible for architectural design, development, and performance tuning of algorithm applications.
• Research and introduce cutting-edge engineering technologies related to algorithms.

Skills

C/C++

Python

Go

Tensorflow

Pytorch

Analytical abilities

Problem solving

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Tools

CUDA programming

TensorRT

Job description

About the Team

Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world. Our mission is to build a bridge for collaboration between algorithm models and business scenarios, and efficiently and stably apply TnS's algorithmic capabilities to TikTok's business scenarios. And let TnS's algorithmic capabilities cover wherever TikTok needs them.

Responsibilities

• Work closely with business teams to optimize the integration plan for algorithm applications, improve efficiency in evaluating and using algorithm applications across various business scenarios, and reduce the cost of managing and optimizing algorithm applications in different business scenarios.
• Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. Work includes multiple sub-areas: resource scheduling, task orchestration, model training, model inference, model management, dataset management, workflow orchestration, etc.
• Be responsible for researching and introducing cutting‑edge engineering technologies related to algorithms.

Qualifications

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience
• Master at least one of the following languages in Linux environment: C/C++, Python, Go
• Master at least one state‑of‑the‑art machine learning framework (e.g., Tensorflow, Pytorch)
• Strong analytical abilities and problem solving

Preferred Qualifications

• Have experience working in large scale tech companies.
• Familiar with model optimization algorithms like quantization and pruning.
• Practical experience in performance optimization/tuning of deep learning model training/inference.
• Practical experience in CUDA programming and TensorRT
• Familiar with LLM model inference framework like VLLM and TensorRT‑LLM

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.