腾讯Robotics X-具身智能数据闭环工程师
任职要求
1.3年以上后端/全栈研发经验,参与过微服务系统建设; 2.熟练掌握常用的数据结构和算法,良好的逻辑思维和分析解决问题的能力; 3.熟悉Linux/Unix系统,熟练掌握Golang/C…
工作职责
1.参与机器人VLA算法的研发的全套数据闭环工具链建设,包括:数据采集、数据标注、数据质检、模型训练、模型评测等; 2.参与建设好用易用的数据管理系统; 3.参与优化数据存储与读取逻辑,提升数据使用效率。
Inclusion Lab is committed to open, unrestricted research on cutting-edge robotics technology and strives to open-source all of its work to the public for the benefit of research communities world-wide. The research scope includes but not limited to the following directions: · Embodied perception, e.g., SLAM and 3D visual grounding · Real-to-Sim world foundation models · General and real-scene simulators · Sim-to-Real adaptation, e.g., task and action planning · Deep reinforcement learning
Responsible for Reconciliation of Funding Cost • Ensure the accuracy, timeliness, and system consistency of channel funding cost • Implement robust reconciliation mechanisms to align internal systems with external partner records. End-to-End Management of Channel Settlements • Oversee the full lifecycle of fee settlements between channel partners and the company, including invoice verification, payment requests, dispute resolution, and exception handling. • Proactively identify and escalate potential risks to mitigate financial discrepancies. Design and Execution of Standardized Reconciliation Reports • Develop and maintain standardized reconciliation frameworks, leveraging multidimensional data analysis to identify critical variances and latent risks. • Deliver insights to drive process improvements and risk mitigation strategies. Digital Transformation of Reconciliation and Settlement Processes • Drive innovation by exploring and implementing RPA (Robotic Process Automation) and AI-based reconciliation tools to enhance efficiency and reduce manual intervention. • Collaborate with technology teams to optimize digital workflows and system integrations. Support Business Cost Analysis with Data-Driven Insights • Generate visualized analytical reports to meet the funding cost analysis needs of front-end business units. • Propose actionable process optimization strategies and cost-reduction initiatives based on data trends.
1.参与具身智能平台的系统架构设计和模块研发工作,支持将实验室算法和数据的能力开放,提供稳定高效和安全的服务; 2.参与建设具身智能仿真平台,支持多模态感知、决策规划、运动操作、人机交互等相关算法能力的迭代优化; 3.参与构建云边协同体系,安全防护体系,以及资源的调配优化能力; 4.参与建设机器人社区生态,包括开发者工具套件、技术论坛、资源共享中心等。