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.
• 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.
• 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.
• You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. • You will review business requirements and incorporate research to meet business goals. You’ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. • You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. • You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.
- Legal advice and research on laws and regulations - Draft, review and negotiate a wide variety of national and international contracts - Drafting of guidelines, policies and templates - Review of marketing material and campaigns - Communication with regulatory authorities - Coordination of disputes and claims, including managing external counsels - Supporting daily operation of business teams as well other functional departments - Assist in the further development of the Legal & Compliance Department