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/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.