苹果Intern - AI/ML Engineering Project for Product Regulatory Compliance and field database - Beijing

- Design and develop AI agents that automate workflows across product launch readiness, catalog quality management, supply chain visibility, and post-launch performance optimization - Build data pipelines and automation tools that integrate multiple data sources, enable real-time decision-making, and track key business metrics - Develop conversational AI assistant and detection systems that help business teams identify issues, prioritize actions, and improve operational efficiency at scale - Collaborate with cross-functional teams including Sourcing, Quality, Marketing, Business Management, Technology to identify automation opportunities, define use cases, and measure business impact - Continuously optimize existing automation solutions based on user feedback, operational metrics, and evolving business requirements A day in the life You'll start your day analyzing workflows and data to identify automation opportunities. You'll spend time building and testing AI agents using prompt engineering and coding tools, designing data pipelines, collaborating with business teams to refine requirements, and measuring the impact of your solutions on key metrics like launch readiness, operational efficiency, issue resolution speed, and time savings. You'll present findings to stakeholders and iterate on solutions based on feedback.

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 ▸