Backend Software Engineer, Inference Optimization

TIKTOK PTE. LTD.; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

A leading tech company seeks a talented individual for its Trust and Safety R&D team. This role focuses on developing machine learning models to tackle internet abuse and fraud. Candidates should possess a strong technical background in algorithm application and excellent problem-solving skills. Join us in creating an inclusive, innovative workspace that connects global communities.

Qualifications

• Master at least one language in Linux environment: C/C++, Python, or Go.
• Master one state-of-the-art machine learning framework (e.g., Tensorflow, Pytorch).
• Strong analytical abilities and problem solving are essential.

Responsibilities

• Work with business teams to optimize algorithm applications.
• Architectural design, development and performance tuning of algorithm applications.
• Research and introduce cutting-edge engineering technologies related to algorithms.

Skills

Analytical abilities

Problem solving

Education

Bachelor's degree in Computer Science or Engineering

Tools

Tensorflow

Pytorch

Linux

C/C++

Python

Go

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:

1. 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.

2. 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.

3. Be responsible for researching and introducing cutting-edge engineering technologies related to algorithms.

Qualification

- 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

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.