Algorithm Engineer (Platform Governance), Global E-Commerce Technology - Algorithm Singapore Regular

ByteDance; Singapore; On-site; SGD 60,000 - 85,000; Full time

Job summary

ByteDance is hiring an Algorithm Engineer for the Platform Governance team in Singapore. This role involves optimizing algorithms for content understanding and building models to identify risks and maintain platform security within e-commerce. Candidates should have at least 1 year of experience in machine learning or related fields, a bachelor's degree in Computer Science, and proficiency in programming languages such as Python, Go, or C++. The ideal candidate will demonstrate strong analytical skills and team collaboration capabilities.

Qualifications

• At least 1 year of experience in related field.
• Master machine learning/deep learning theoretical knowledge with practical experience.
• Familiar with fields in Data Mining, NLP, Computer Vision or Graph Algorithm.

Responsibilities

• Optimize NLP/Computer Vision/MultiModal algorithms for content understanding.
• Recognize risk/low quality issues in the e-Commerce scenario.
• Build anti-fraud models to recognize illegal behaviors.

Skills

Machine Learning

Deep Learning

NLP

Computer Vision

Problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Go

C++

Linux

Job description

Algorithm Engineer (Platform Governance), Global E-Commerce

Location:

Team: Algorithm

Employment Type: Regular

Job Code: A143601

Responsibilities

About the team: The Platform Governance team is focused to support the businesses by building the E-commerce ecosystem and improve platform service capabilities with the most advanced AI technology. The team use the most advanced AI technology to combat various risks/violations in Bytedance's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

• Optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of e-Commerce.
• Responsible for the recognition of the risk/low quality/style issue in the e-Commerce scenario (including product, shopping video, shopping livestream etc) and applying them to review system or recommendation traffic control.
• Responsible for recognition and control of the risky seller and low-quality e-Commerce anchors via user profile.
• Responsible for building the anti-fraud model to recognize illegal behaviors and events in the e-Commerce scenario.
• Support the production of scalable and optimised AI/machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.

Minimum Qualifications

• At least 1 year of experience in related field.
• Computer Science or related major, bachelor's degree or above.
• Master machine learning/deep learning theoretical knowledge, and have rich practical experience.
• Familiar with 1-2 fields in Data Mining, NLP, Computer Vision or Graph Algorithm.
• Possess Linux environment R&D capabilities, proficient in Python/Go/C++.
• Excellent analysis and problem-solving skills, passion for challenging problems.
• Have a good team spirit and strong communication skills.

Preferred Qualifications

• Received best paper or equivalent awards in the aforementioned conferences.
• Winner of international academic competitions.