地平线Junior Patent Professional
任职要求
• 理工科相关专业本科或以上学历（如电子工程、计算机工程、自动化、机械工程、车辆工程等）；
• 1–3年相关工作经验，具有专利申请或知识产权管理经验者优先；
• 熟悉专利制度和基本专利申请流程；
• 中文为母语，流利的英文书写与口语能力为必须，粤语流利或母语为加分项；
• 有专利代理人或律师资格者优先考虑；
• 具备良好的沟通能力与团队协作精神；
• 对新技术敏感，乐于学习与探索不同领域的创新。
• Bachelor’s degree or above in a science or engineering discipline (e.g., Electronic Engineering, Computer Engineering, Automation, Mechanical Engineering, Automobile Engineering, etc.);
• 1–3 years of relevant work experience, preferably in patent prosecution or IP management;
• Basic understanding of the patent system and procedures of application;
• Native proficiency in Chinese (M…工作职责
• 作为香港及南亚地区的知识产权协调人，与国际研发团队沟通，了解技术发展趋势； • 对研发人员开展专利与知识产权相关培训； • 参与研发过程中的创新点识别、专利挖掘与初步评估； • 协助准备和审阅专利申请文件，与外部专利事务所协调工作； • 开拓并维护国际知识产权法律事务所及相关资源关系网络； • 与全球知识产权团队协同工作，支持国际业务知识产权战略目标的实现。 • Act as IP coordinator for Hong Kong and South Asia region, communicating with international R&D teams to understand technology trends; • Conduct IP and patent-related training sessions for R&D staff; • Participate in innovation disclosure, patent mining, and preliminary evaluation during R&D activities; • Assist in preparing and reviewing patent application documents and coordinating with external patent firms; • Develop and maintain working relationships with international IP law firms and service providers; • Collaborate with global IP team to achieve strategic international business objectives.
• Drives product impact by transferring cutting-edge research into production systems. Collaborates across Microsoft and external groups to apply scalable, data-driven solutions, author white papers, file patents, and consult on product strategy. • Designs and optimizes ranking algorithms across L1–L3 stages using collaborative filtering, deep neural networks (DNN), and graph neural networks (GNN). Applies FastRank and LambdaMart techniques for precision ranking in Bing Feeds and other verticals. • Leads experimentation and deployment of large-scale NLP and LLM models for topic modeling, sentiment analysis, and multimodal content linking. Supports real-time indexing and modular APIs for rapid model onboarding. • Cleans, transforms, and analyzes large-scale data to build usable datasets and optimize feature selection. Develops ETL pipelines and mentors teams in data preparation and signal system design. • Operates on distributed GPU/CPU frameworks (DLTS, DeepSpeed) for training and inference. Supports A/B testing, flighting, and real-time feedback loops to refine models and improve user engagement. • Applies deep understanding of fairness and bias in model development. Contributes to internal ethics policies and ensures representative data usage aligned with responsible AI principles. • Coaches junior team members, collaborates with academia to recruit top talent, and shares research findings through publications and conferences. Builds multidisciplinary teams and fosters innovation culture.
• Bridges research and product development by applying cutting-edge techniques to solve real-world product challenges with limited guidance. • Collaborates across teams and contributes to technology transfer, patents, internal tools, and publications to drive business impact. • Maintains professional networks, supports recruitment efforts, and may assist in mentoring interns or junior team members. • Documents research processes, experiments, and findings to promote innovation and ensure reproducibility. • Applies advanced research strategies and gains deep expertise in areas like machine learning, NLP, computer vision, and statistical modeling to improve product quality. • Leverages data-driven approaches to optimize large-scale systems and ensure high performance; conducts AIGC research to enhance ad quality; analyzes offline and online performance to deliver scalable solutions that improve user and advertiser experiences.
Join a dynamic team of designers, content strategists, and user researchers working on Alibaba’s global B2B e-commerce platform, Alibaba.com. We collaborate closely with product and business teams to create a top-tier online marketplace for businesses in regions like North America, Europe, and Southeast Asia. Alibaba.com is the original business of Alibaba Group, launched in 1999, and we’re focused on continuously improving it to better serve our global customers. As a Senior UX Researcher, you will be responsible for creating, driving, and implementing research plans to discover actionable insights for creating the user experience for web-based applications and mobile devices. You will deliver the right user insights at the right time, helping project team to create digital products that are good for users and good for business. You will use your deep understanding of the methods and best practices of user research to experiment with mixed methods research to generate unique user insights and drive product innovation. You will mentor junior team mates to deliver high-quality outputs while working effectively on managing stakeholders, overlapping projects, and competing priorities. Responsibilities: • Drive ideas to improve products and services through research-driven insights and recommendations. • Independently design and execute research studies with effective research methods (e.g., desk research, interviews, focus groups, usability testing, surveys, competitive analysis, etc.), representative participant profiles, and efficient recruiting strategies. • Proactively review and perform data analysis to extract insights and actionable recommendations from qualitative or quantitative data, and collaborate with teams to translate insights into product and business impact. • Present your work at research critique sessions to collect constructive feedback from the team and leadership. • Collaborate with designers, engineers, and product managers throughout the research, design, and product development processes. • Organize post-mortem reviews of your projects with collaborating teams, reflect on outcomes, and proactively suggest improvements. • Through knowledge sharing, leading by example, and constant learning, contribute to the team’s professional growth and development. • Constantly learn and implement AI in the workflow to enhance research efficiency, and proactively identify and suggest new tools for the team. • Effectively identify and implement new ways to conduct research, grow the team’s influence, and create impact.
1. Alert Clearance & Investigation o Conduct thorough analysis and resolution of name screening alerts (PEPs, Sanctions, Adverse Media) and Google screening alerts to mitigate risks and ensure regulatory compliance. o Document decisions and maintain audit-ready records. 2. Subject Matter Expertise o Serve as the SME for PEP, Sanction, and Adverse Media screening processes, staying updated on emerging risks and regulatory changes. 3. AML System Support o Investigate and resolve technical issues within AML systems, collaborating with AML tech team for bug fixes and enhancements. 4. Project Execution o Contribute and follow up AML initiatives including system upgrades, calibration of screening parameters, and regulatory remediation projects. 5. Training & Mentorship o Train and mentor junior staff on alert handling, due diligence, and AML best practices. 6. Ad-Hoc Tasks o Address urgent compliance requests, deep-dive investigations, and regulatory reporting as needed. 7. Risk Mitigation o Identify systemic issues in screening processes and propose corrective actions.