<section class="job-section" id="st-companyDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg"><p>Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.</p></div></section><section class="job-section" id="st-jobDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Job Description</h2></div><div class="wysiwyg" itemprop="responsibilities"><ul><li>研发面向自动驾驶、以数据为中心的算法，重点包括多模态数据（camera, lidar, radar）上的 auto annotation、auto tagging、data mining 和 auto quality check。</li><li>利用 Foundation Models、VLM、few-shot learning 和 zero-shot learning 来开发和优化数据自动化流水线，以提高效率和可扩展性。</li><li>实施 active learning 策略，进行智能数据选择和标注优先级排序。</li><li>与感知、预测和规划团队协作，理解数据需求并提供可扩展的数据解决方案。</li><li>与全球博世团队合作，进行技术转移、趋势追踪和方案评估。</li><li>Research and development of data-centric algorithms for autonomous driving, focusing on auto annotation, auto tagging, data mining, and auto quality check across multi-modal data (camera, lidar, radar).</li><li>Develop and optimize data automation pipelines leveraging Foundation Models, VLM, few-shot learning, and zero-shot learning to improve efficiency and scalability.</li><li>Implement active learning strategies for intelligent data selection and annotation prioritization.</li><li>Collaborate with perception, prediction, and planning teams to understand data requirements and deliver scalable data solutions.</li><li>Work with global Bosch units on technology transfer, trend scouting, and concept evaluation.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Qualifications</h2></div><div class="wysiwyg" itemprop="qualifications"><ul><li>计算机科学、电气工程、数据科学或相关专业的硕士或博士学位。</li><li>拥有1-3年在自动驾驶或AI应用领域担任以数据为中心角色的实践经验。</li><li>精通 Foundation Models (VLM, e.g., CLIP, Grounded-SAM, Grounded-DINO)、few-shot/zero-shot learning 和 active learning。</li><li>具备 auto annotation、data mining 和 auto quality check 流水线的实践经验。</li><li>熟练掌握 Python 及 PyTorch 或 TensorFlow 等深度学习框架。</li><li>熟悉多模态传感器数据（cameras, lidar, radar）。</li><li>在顶级会议（如 CVPR、ICCV、ECCV）以第一作者身份发表论文者优先。</li><li>加分项：具有使用 large feed-forward models 完成 3D reconstruction、depth estimation 或预测 camera intrinsic/extrinsic matrix 等任务的经验。</li><li>英语流利，具备强大的沟通和团队合作能力。</li></ul><ul><li>Master’s or PhD in Computer Science, Electrical Engineering, Data Science, or a related field.</li><li>1-3 years of practical experience in data-centric roles within autonomous driving or AI applications.</li><li>Strong knowledge of Foundation Models (VLM, e.g., CLIP, Grounded-SAM, Grounded-DINO), few-shot/zero-shot learning, and active learning.</li><li>Hands-on experience with auto annotation, data mining, and auto quality check pipelines.</li><li>Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.</li><li>Familiarity with multi-modal sensor data (cameras, lidar, radar).</li><li>First-author publication at top conferences (e.g., CVPR, ICCV, ECCV) is a strong plus.</li><li>Bonus: Experience with tasks such as 3D reconstruction, depth estimation, or predicting camera intrinsic/extrinsic matrix using large feed-forward models.</li><li>Fluent in English, with strong communication and teamwork skills.</li></ul></div></section>


The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 90,000 associates in research and development, of which nearly 48,000 are software engineers.

This company is not affiliated with Joinrs as a partner.
 All available job offers can be found on their public website.
 Joinrs works to aggregate all the open job listings in the world.

Bosch Group

博世是一家全球领先的技术和服务供应商。我们正在招聘全职智能驾驶数据科学家，要求硕士或博士学历及相关AI/自动驾驶经验。你将研发自动驾驶数据算法，优化数据自动化流程，并与全球团队协作。公司提供国际化合作与技术前沿发展机会。

智能驾驶数据科学家

Summary