特斯拉计算机视觉实习生 Computer Vision Intern
任职要求
- MS degree in Computer Science, Computer Vision, Automation, Electrical Engineering, Physics, Optical Engineering, or equivalent experience. - Proficient in using Python and Matlab for image processing and vision algorithm development with hands-on project experience. - Excellent communication skills and ability to work with cross function teams to lead and solve technical problems. - Be motivated by our mission to accelerate the world’s transition to sustainable energy and understand how their work contributes to that goal Additional skills we are looking f…
工作职责
Summary of the position This position in the Camera Engineering Team will focus on new camera tests and image quality by a variety of new technologies and lab automation. The engineer will be responsible for the design, development, and optimization of image processing and computer vision algorithms, including image enhancement, object detection, tracking, image quality tool development, participate in the integration of machine learning models (e.g., deep learning-based image recognition), and conduct algorithm testing, debugging, and performance evaluation to ensure the image quality of Tesla’s camera systems. This role involves collaboration with designers, engineering, manufacturing and requires the ability to distill highly technical information and effectively communicate with other teams and management. Minimum
岗位概述 负责深度学习、计算机视觉及 AIGC 方向的算法研究与工程落地，涵盖图像/视频的生成、编辑、增强、分割、重建等核心视觉技术。你将跟踪前沿学术进展，将研究成果转化为真实可用的产品能力。 本岗位为 2026 年暑期实习，全职实习时长 5 个月以上。实习期间表现优秀者，将有机会获得留用。 职责描述 - 跟踪并探索 CV/AIGC 前沿技术，参与将相关技术应用到图像/视频生成、编辑、增强或视觉内容理解任务，持续提升模型效果 - 参与视觉模型（如 Diffusion Models、GAN、ViT 等）的算法设计、模型训练、微调与性能优化，推动下游影像功能落地 - 针对实际应用场景，设计并优化算法效果、效率与鲁棒性 - 核心代码实现，输出 Demo 或 SDK，根据产品反馈迭代优化 - 研究领域最新技术，撰写技术专利或论文（如有机会） 任职资格 - 计算机科学、人工智能、电子信息、数学等相关专业，硕士及以上学历（特别优秀的本科生亦可） - 具备 CV 相关研究或项目经验，熟悉图像生成、分割、目标检测、人脸/人体技术或视频处理等至少一个子领域 - 熟练掌握 Python，熟悉 PyTorch 等深度学习框架，良好的数学与编程基础 - 对 AI 技术充满热情，熟练使用各种 AI 提效工具，持续关注 AIGC 前沿研究 - 具备良好的沟通能力和团队协作精神 加分项 - 在 CVPR、ICCV、ECCV、NeurIPS 等 CV/ML 相关顶级会议或期刊发表论文 - 了解 C++ 并有相关工程实践经验 ▸ Overview You'll work at the intersection of deep learning, computer vision, and AIGC research — bringing cutting-edge techniques, from image generation and video editing to segmentation and reconstruction, into real products. This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer. ▸ Responsibilities - Track and explore the latest CV/AIGC research; apply breakthroughs to image/video generation, editing, enhancement, and visual understanding tasks - Contribute to the design, training, fine-tuning, and optimization of visual models (Diffusion Models, GANs, ViT, etc.); drive downstream feature deployment - Design and optimize algorithms for real-world scenarios — focusing on effectiveness, efficiency, and robustness - Implement core algorithms; deliver demos or SDKs; iterate based on product feedback - Stay current with research trends; contribute to patents or publications when opportunities arise ▸
岗位概述 负责深度学习、计算机视觉及 AIGC 方向的算法研究与工程落地，涵盖图像/视频的生成、编辑、增强、分割、重建等核心视觉技术。你将跟踪前沿学术进展，将研究成果转化为真实可用的产品能力。 本岗位为 2026 年暑期实习，全职实习时长 5 个月以上。实习期间表现优秀者，将有机会获得留用。 职责描述 - 跟踪并探索 CV/AIGC 前沿技术，参与将相关技术应用到图像/视频生成、编辑、增强或视觉内容理解任务，持续提升模型效果 - 参与视觉模型（如 Diffusion Models、GAN、ViT 等）的算法设计、模型训练、微调与性能优化，推动下游影像功能落地 - 针对实际应用场景，设计并优化算法效果、效率与鲁棒性 - 核心代码实现，输出 Demo 或 SDK，根据产品反馈迭代优化 - 研究领域最新技术，撰写技术专利或论文（如有机会） 任职资格 - 计算机科学、人工智能、电子信息、数学等相关专业，硕士及以上学历（特别优秀的本科生亦可） - 具备 CV 相关研究或项目经验，熟悉图像生成、分割、目标检测、人脸/人体技术或视频处理等至少一个子领域 - 熟练掌握 Python，熟悉 PyTorch 等深度学习框架，良好的数学与编程基础 - 对 AI 技术充满热情，熟练使用各种 AI 提效工具，持续关注 AIGC 前沿研究 - 具备良好的沟通能力和团队协作精神 加分项 - 在 CVPR、ICCV、ECCV、NeurIPS 等 CV/ML 相关顶级会议或期刊发表论文 - 了解 C++ 并有相关工程实践经验 ▸ Overview You'll work at the intersection of deep learning, computer vision, and AIGC research — bringing cutting-edge techniques, from image generation and video editing to segmentation and reconstruction, into real products. This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer. ▸ Responsibilities - Track and explore the latest CV/AIGC research; apply breakthroughs to image/video generation, editing, enhancement, and visual understanding tasks - Contribute to the design, training, fine-tuning, and optimization of visual models (Diffusion Models, GANs, ViT, etc.); drive downstream feature deployment - Design and optimize algorithms for real-world scenarios — focusing on effectiveness, efficiency, and robustness - Implement core algorithms; deliver demos or SDKs; iterate based on product feedback - Stay current with research trends; contribute to patents or publications when opportunities arise ▸
岗位概述 负责深度学习、计算机视觉及 AIGC 方向的算法研究与工程落地，涵盖图像/视频的生成、编辑、增强、分割、重建等核心视觉技术。你将跟踪前沿学术进展，将研究成果转化为真实可用的产品能力。 本岗位为 2026 年暑期实习，全职实习时长 5 个月以上。实习期间表现优秀者，将有机会获得留用。 职责描述 - 跟踪并探索 CV/AIGC 前沿技术，参与将相关技术应用到图像/视频生成、编辑、增强或视觉内容理解任务，持续提升模型效果 - 参与视觉模型（如 Diffusion Models、GAN、ViT 等）的算法设计、模型训练、微调与性能优化，推动下游影像功能落地 - 针对实际应用场景，设计并优化算法效果、效率与鲁棒性 - 核心代码实现，输出 Demo 或 SDK，根据产品反馈迭代优化 - 研究领域最新技术，撰写技术专利或论文（如有机会） 任职资格 - 计算机科学、人工智能、电子信息、数学等相关专业，硕士及以上学历（特别优秀的本科生亦可） - 具备 CV 相关研究或项目经验，熟悉图像生成、分割、目标检测、人脸/人体技术或视频处理等至少一个子领域 - 熟练掌握 Python，熟悉 PyTorch 等深度学习框架，良好的数学与编程基础 - 对 AI 技术充满热情，熟练使用各种 AI 提效工具，持续关注 AIGC 前沿研究 - 具备良好的沟通能力和团队协作精神 加分项 - 在 CVPR、ICCV、ECCV、NeurIPS 等 CV/ML 相关顶级会议或期刊发表论文 - 了解 C++ 并有相关工程实践经验 ▸ Overview You'll work at the intersection of deep learning, computer vision, and AIGC research — bringing cutting-edge techniques, from image generation and video editing to segmentation and reconstruction, into real products. This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer. ▸ Responsibilities - Track and explore the latest CV/AIGC research; apply breakthroughs to image/video generation, editing, enhancement, and visual understanding tasks - Contribute to the design, training, fine-tuning, and optimization of visual models (Diffusion Models, GANs, ViT, etc.); drive downstream feature deployment - Design and optimize algorithms for real-world scenarios — focusing on effectiveness, efficiency, and robustness - Implement core algorithms; deliver demos or SDKs; iterate based on product feedback - Stay current with research trends; contribute to patents or publications when opportunities arise ▸
岗位概述 负责深度学习、计算机视觉及 AIGC 方向的算法研究与工程落地，涵盖图像/视频的生成、编辑、增强、分割、重建等核心视觉技术。你将跟踪前沿学术进展，将研究成果转化为真实可用的产品能力。 职责描述 - 跟踪并探索 CV/AIGC 前沿技术，参与将相关技术应用到图像/视频生成、编辑、增强或视觉内容理解任务，持续提升模型效果 - 参与视觉模型（如 Diffusion Models、GAN、ViT 等）的算法设计、模型训练、微调与性能优化，推动下游影像功能落地 - 针对实际应用场景，设计并优化算法效果、效率与鲁棒性 - 核心代码实现，输出 Demo 或 SDK，根据产品反馈迭代优化 - 研究领域最新技术，撰写技术专利或论文（如有机会） 任职资格 - 计算机科学、人工智能、电子信息、数学等相关专业，硕士及以上学历（特别优秀的本科生亦可） - 具备 CV 相关研究或项目经验，熟悉图像生成、分割、目标检测、人脸/人体技术或视频处理等至少一个子领域 - 熟练掌握 Python，熟悉 PyTorch 等深度学习框架，良好的数学与编程基础 - 对 AI 技术充满热情，熟练使用各种 AI 提效工具，持续关注 AIGC 前沿研究 - 具备良好的沟通能力和团队协作精神 加分项 - 在 CVPR、ICCV、ECCV、NeurIPS 等 CV/ML 相关顶级会议或期刊发表论文 - 了解 C++ 并有相关工程实践经验 ▸ Overview You'll work at the intersection of deep learning, computer vision, and AIGC research — bringing cutting-edge techniques, from image generation and video editing to segmentation and reconstruction, into real products. ▸ Responsibilities - Track and explore the latest CV/AIGC research; apply breakthroughs to image/video generation, editing, enhancement, and visual understanding tasks - Contribute to the design, training, fine-tuning, and optimization of visual models (Diffusion Models, GANs, ViT, etc.); drive downstream feature deployment - Design and optimize algorithms for real-world scenarios — focusing on effectiveness, efficiency, and robustness - Implement core algorithms; deliver demos or SDKs; iterate based on product feedback - Stay current with research trends; contribute to patents or publications when opportunities arise ▸