Algorithm Engineer (Platform Governance), Global E-Commerce

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.

Responsibilties:

• Optimization of NLP/Computer Vision/Multi Modal 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.

Requirements:

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.