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

▸ Qualifications

● Master's degree or above in CS, AI, EE, Mathematics, or related fields (exceptional undergraduates welcome)

● Research or project experience in at least one CV subfield: image generation, segmentation, object detection, face/body recognition, video processing, etc.

● Proficiency in Python; familiarity with PyTorch or equivalent deep learning frameworks; solid math and engineering foundations

● Genuine enthusiasm for AI; comfortable with AI productivity tools; actively tracks AIGC research trends

● Strong communication skills and a collaborative mindset

▸ Bonus Points

● Publications at top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, etc.)

● C++ experience with real-world engineering applications