Identify repetitive and manual data tasks, drive process automation, and optimize data processing workflows.
Conduct data quality checks to ensure consistency and accuracy in reporting.
Build and maintain scalable, user-friendly data tools and templates (such as reports, trackers, evaluation benchmarks, etc.) to empower the team to respond efficiently to client needs....
Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
Model Development and Optimization: Research and optimize e-commerce-specific NLP and multimodal large models to improve multilingual, multi-task, and multi-modal algorithm performance across various e-commerce scenarios.
Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline....
Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.
Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience.
Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline....
Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Explore next-generation generative search and recommendation through full-format representation learning and SID modeling across videos, livestreams, products, and queries.
Design and develop generative algorithms tailored for high engaging, high conversion e-commerce visual creatives, solving challenges in identity-preserving and aesthetic style consistency to produce production-grade intelligent background synthesis，virtual try-on, and localised lifestyle scene generation....
Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
Pioneer the development of domain-specific LLMs by leveraging massive e-commerce data for Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learning (RL). Design and deploy intelligent AI Agents based on an "Agent + Skill" framework to autonomously diagnose and resolve complex user-facing and operational issues.
Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion....
Assist in Workflow Improvement: Participate in the design and enhancement of workflows aimed at improving review quality and model quality, supporting greater operational efficiency.
Actively enrolled university students who can commit to the role for at least 3 months and above ideally with a minimum of 3 working days per week.
Interest in content security, governance, and model operations, with experience using or engaging with multiple content products....
Play a critical role in planning and leading large-scale technical projects to lay the foundation for the iterative development and scale of early products
Participate in developing robust, efficient technology products that serve 1 billion users
Be a key member in improving architecture to ensure high stability and performance...
