特斯拉Data Algorithm Engineer-CV

任职要求

Bachelor's degree or higher in Computer Science, Mathematics, Statistics, or a related field.
Solid experience in Python and C++ development.
Proficiency in image processing algorithms such as OpenCV.
Experience in model development with TensorFlow or PyTorch.
Mastery of data science tools, such as Pandas, NumPy, Matplotlib, and MongoDB Aggregation.
Project experience with multimodal large models, with in-depth research in at least one area (e.g., multimodal large models, multimodal representations, or few-shot learning).
Preferred 
Practical project experience applying computer vision technology in industrial manufacturing or related fields.
Familiarity with robot/PLC control, industrial cameras/laser sensors/lighting solutions.
Expe…

工作职责

特斯拉数据算法团队在工业智能研发中扮演关键角色。我们通过自主构建数据算法平台，赋能生产制造、供应链、销售、服务和充电网络等业务领域，将海量信息转化为高价值数据资产，从而打造更卓越的产品并提升用户体验。

作为特斯拉数据算法工程师，您将全程参与自研数据算法产品和项目的孵化、落地与迭代过程。从数据收集、清洗和预处理，到模型训练与生产部署，您将主导整个流程。理想候选人应热爱人工智能，并紧跟领域前沿动态。

本职位聚焦工业领域的计算机视觉应用，包括缺陷检测、视觉引导、尺寸测量以及视觉大模型等。

职责描述
负责对接公司内部计算机视觉项目，独立设计视觉方案、部署落地，并管理项目全生命周期。
处理计算机视觉项目的图像收集、整理、过滤和清洗；执行数据预处理、模型训练、迭代、重训练，以及准确率优化和模型搜索等任务，涵盖分类、识别和图像分割等领域。
探索多模态大模型在工业场景的应用，研究少样本检测、视频理解等方向的创新解决方案。
追踪计算机视觉技术前沿趋势，提出创新方案应对工业生产挑战。
必备条件
计算机科学、数学、统计学或相关学科的本科及以上学历。
扎实的Python和C++开发经验。
精通OpenCV等图像处理算法。
具备TensorFlow或PyTorch模型开发经验。
掌握数据科学工具，如Pandas、NumPy、Matplotlib，以及MongoDB Aggregation等。
有多模态大模型相关项目经验，并在至少一个领域（如多模态大模型、多模态表征或少样本学习）有深入研究。
优先条件
有将计算机视觉技术应用于工业制造或相关领域的实际项目经验。
熟悉机器人/PLC控制、工业相机/激光传感器/光源解决方案。
有在敏捷开发环境中的工作经验。
具备优秀的书面和口头沟通能力。
有项目管理经验，能按时节点完成开发任务。
拥有算法开发背景，例如参与过ACM竞赛。
在相关领域的学术期刊或会议上发表过论文。
加入我们

加入特斯拉，您将在充满活力和创新的环境中，与全球顶尖工程师和科学家合作，通过机器视觉技术推动工业自动化和智能制造的进步。如果您对机器学习、人工智能和计算机视觉充满热情，并渴望在这一前沿领域实现自我价值，欢迎成为我们的一员！


The Role

Tesla's Data Algorithms Team plays a pivotal role in industrial intelligence research and development. We empower various business areas—including manufacturing, supply chain, sales, service, and charging networks—by building our own data algorithms platform. This transforms vast amounts of information into high-value data assets, enabling us to create superior products and deliver an enhanced user experience.
As a Tesla Data Algorithms Engineer, you will be fully involved in the incubation, implementation, and iteration of our in-house data algorithms products and projects. From data collection, cleaning, and preprocessing to model training and production deployment, you will lead the entire process. The ideal candidate is passionate about artificial intelligence and stays abreast of the latest developments in the field.
This position focuses on computer vision applications in the industrial sector, including defect detection, visual guidance, dimension measurement, and large vision models.

Responsibilities
Handle internal computer vision projects, independently design visual solutions, deploy them, and manage the full project lifecycle.
Manage image collection, organization, filtering, and cleaning for computer vision projects; perform data preprocessing, model training, iteration, retraining, accuracy optimization, and model search tasks, covering areas such as classification, recognition, and image segmentation.
Explore the application of multimodal large models in industrial scenarios, researching innovative solutions in directions like few-shot detection and video understanding.
Track cutting-edge trends in computer vision technology and propose innovative solutions to address challenges in industrial production.
Required