Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance

About the Team:

• The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology：
• Combat any kinds of risks/violations issues in E-commerce scenarios.
• Build an E-commerce ecosystem and improve platform service capabilities

Responsibilities:

• Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
• Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.
• Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.
• Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.
• Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

What You Will Do:

• Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business, explore cutting-edge technologies, and apply them to e-commerce business scenarios.
• Streamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc.
• Optimize video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimize the e-commerce short video shopping experience.
• Optimize the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions.
• Optimize the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improve the platform governance effect.
• Responsible for the research of large-scale multimodal (vision, speech, natural language, etc.) algorithms and their implementation in e-commerce scenarios.
• Extract extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers. Model large-scale networks to support business scenarios like content understanding, multimodal representation, and community mining for problem-solving purposes.
• Participate in the construction of a large-scale graph storage and graph learning platform, supporting the basic ability of graph learning with billions of nodes and edges.

Requirements:

• Minimum Qualifications
• Bachelor's degree or above in computer science or related field
• Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
• Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
• Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM
• Excellent analytical and problem-solving skills, passionate about challenging problems
• Good team spirit and strong communication skills
• Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred
• Fluent English listening, speaking, reading, and writing skills are preferred
• Experience studying, working, or living overseas is preferred.