滴滴AI-Onboard & Toolchain（1）数据开发实习生
任职要求
1. 计算机、车辆、交通、统计学、数学等相关专业教育背景，良好的机器学习、统计学、数学知识; 2. 具有数据分析、挖掘经验，具有数据分析和解释能力，熟悉数据对模型表现的影响机理； 3. 熟悉使用至少一门主流编程语言，如Python/C++; 4. 具备很强的逻辑性和业务理解力，较强的沟通交流和团队合作能力，能够主动积极的探索方向;
工作职责
深入理解自动驾驶算法逻辑，从大规模数据集中挖掘高价值驾驶场景和行为数据，以数据驱动的方式加速自动驾驶算法的迭代。与研发和测试工程师紧密合作，开发数据分析的框架、流程和工具，形成规范、高效、自动化的数据分析闭环： 1. 与算法研发工程师合作，通过数据驱动的方式挖掘自动驾驶算法需要关注的关键场景和高价值数据，参与算法迭代； 2. 整合研发和测试侧多种数据需求，确定分析和实施方案，构建数据应用工具，开发和维护相关报表和监控； 3. 构建数据存取、数据分析和可视化等一系列工具，让分析流程的更高效，更自动，更用户友好。
• Identify and onboard supplier partners capable of producing high quality products for Amazon Private Brands. This includes understanding business development and product development needs, analyzing existing supplier capability opportunities and gaps, conducting global supplier landscape analyses, know tariff implications, based on industrial insights and global supply chain expansion trends. • Exploration and Implementation of Gen AI solutions to automate supplier selection process. This includes learning the end-to-end sourcing process from supplier identification to the product development cycle, translating the supplier selection criteria and framework into an organized data flow, exploring Gen AI solutions and automation solutions with APB tech team to automate the supplier selection process from lead identification, pre-screening, supplier outreach, supplier profile collection and initial evaluation to qualifying the supplier. • Lead the new vendor onboarding (NVO) process to qualify and onboard new suppliers into WW Amazon supplier pool. This includes following a standardized process to pitch and qualify the new suppliers with a due diligence check, Social Responsibility and Factory Quality audits, supporting them to get familiar with Amazon Private Brands’ product development and management systems and mechanisms.
• Identify and onboard supplier partners capable of producing high quality products for Amazon Private Brands. This includes understanding business development and product development needs, analyzing existing supplier capability opportunities and gaps, conducting global supplier landscape analyses, know tariff implications, based on industrial insights and global supply chain expansion trends. • Exploration and Implementation of Gen AI solutions to automate supplier selection process. This includes learning the end-to-end sourcing process from supplier identification to the product development cycle, translating the supplier selection criteria and framework into an organized data flow, exploring Gen AI solutions and automation solutions with APB tech team to automate the supplier selection process from lead identification, pre-screening, supplier outreach, supplier profile collection and initial evaluation to qualifying the supplier. • Lead the new vendor onboarding (NVO) process to qualify and onboard new suppliers into WW Amazon supplier pool. This includes following a standardized process to pitch and qualify the new suppliers with a due diligence check, Social Responsibility and Factory Quality audits, supporting them to get familiar with Amazon Private Brands’ product development and management systems and mechanisms.
【业务介绍】 作为公司统一的机器学习平台团队，负责调度公司所有模型训练与推理资源；基于自建的训推引擎，构建公司统一的机器学习平台，为公司所有算法同学（稀疏 & 稠密，含 LLM） 模型迭代提供端到端的一站式服务；包括 数据生产，模型训练，模型上线，特征管理，模型测试，资源管控等一系列能力。 【岗位职责】 1、负责机器学习链路，离在线数据相关的开发工作，包括样本数据、特征数据等的数据链路搭建、任务运维和调优、性能优化等 2、负责小红书大规模机器学习平台的后台系统设计和开发工作；包括样本平台，特征平台，训练平台，推理平台等AI应用后台建设等； 3、研究分析业内AI平台产品，优化技术方案，改进产品功能，完善产品体验。