职位描述
在过去数年中,博世中央研究院建立了博世人工智能中心 (BCAI) 作为人工智能企业研究中心之一。
· 将把业务需求转化为技术解决方案,并开发先进的机器学习模型来分析大规模和高维数据。 你将接触到博世各事业部的海量数据以及多样的应用场景,并利用机器学习技术去积极探索智能制造的无限可能。
· 你将可能会参与博世自动驾驶技术中感知算法的研发,包括但不限于: 环境的感知,物体检测跟踪及预测, 路径规划,精确控制,高精度地图算法等,也可能会参与博世各种产品的研发、生产、供应链、智慧服务等各种创新场景的人工智能创新。
· 你将与最新的研究和技术趋势保持同步,以构建最先进的机器学习/深度学习模型。 您将查看其他人编写的代码以获得关键反馈。 你将负责从原始数据到用于生产部署的模型的建模过程。
· 你将与AI科学家,领域专家和工程团队合作。 您将通过论文、专利和演示文稿的形式向研究人员、管理层和关键决策者清楚地阐明结果和想法,从而分享知识。
Over the last few years, Bosch Corporate Research has established the Bosch Center for Artificial Intelligence (BCAI) as one of the enterprise research centers for AI. The Data Science and Software Engineering team is one part of the BCAI with the mission to incubate, engineer and roll out AI solutions to Bosch. We work closely with domain experts on real-world applications to transform Bosch into a data-driven company.
•You will translate business needs into technical solutions and develop advanced machine learning models for the analysis of large-scale and high-dimensional data. You will be exposed to the massive data and diverse application scenarios of Bosch's various business units, and use machine learnig technology to actively explore the infinite possibilities of intelligent manufacturing.
•You might be responsible for the research and development of perception algorithms in Bosch's autonomous driving technology, including but not limited to: environmental perception, object detection, tracking and prediction, path planning, precise control, high-precision map algorithms, etc., as well as the innovation thru artificial intelligence on engineering, manufacturing, supply chain and intelligent services fields across various products and domains of Bosch.
•You will stay current with latest research and technology trends to build state of the art machine learning/deep learning models. You will review code written by others for critical feedback. You will be responsible for the modelling process from raw data to deployment ready model for production.
•You will collaborate with AI scientists, domain experts and engineering teams. You will share knowledge by clearly articulating results and ideas through papers, patents and presentations to research staff, management, and key decision makers.