公司名称：

上海合合信息科技股份有限公司

主营业务：

多模态文本智能技术

公司规模：

上海合合信息科技股份有限公司（简称：合合信息，股票代码：688615.SH）是一家中国领先的人工智能产品公司，始终致力以AI技术创新赋能，向全球C端用户和多元行业B端客户提供“真有用、真好用”的产品，已成为全球多模态大模型文本智能技术的领先者。

核心产品：

扫描全能王、名片全能王、启信宝、Textln、启信慧眼

企业文化：

敏捷应变、极致创新、拥抱客户、协作共赢

职位名称：

算法工程师（大模型方向）

工作地点：

上海

招聘人数：

2人

职位类型：

校招

工作职责：

任职资格：

1. 拥有计算机、人工智能、数学、自动化、电子工程、软件等相关方向的研究生以上学历，有CVPR/ICLR/NeurIPS/MLsys/ICCV/等计算机视觉会议上有优秀的论文发表者加分
2. 有大模型相关研发经验，在视觉、文本、多模态大模型中有深度参与训练和模型调优经验
3. 具备优秀的研究能力，能够快速理解前沿论文并复现算法
4. 优秀的算法和编程能力，熟悉常用深度学习模型，熟系神经网络的关键算子
5. 熟练使用Python/C++等编程语言和至少一种深度学习框架，工程能力扎实，有良好的数据结构和算法能力

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

高性能计算工程师

工作地点：

上海/现场

招聘人数：

1人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

多模态大模型算法研究员

工作地点：

上海/现场

招聘人数：

2人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

多模态大模型算法研究员-广州

工作地点：

广州/现场

招聘人数：

1人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

大模型算法工程师

工作地点：

上海/现场

招聘人数：

2人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

智能图像算法研究员

工作地点：

上海/现场

招聘人数：

1人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

机器人控制算法工程师

工作地点：

上海/现场

招聘人数：

1人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

后端开发工程师

工作地点：

上海/现场

招聘人数：

4人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

云原生SRE工程师

工作地点：

上海/现场

招聘人数：

1人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

职位名称：

AIOPS工程师

工作地点：

上海/现场

招聘人数：

1人

职位类型：

校招

职位要求：

投递邮箱：

邮件标题：

PRCV2025应聘+职位+姓名

招聘流程：

三到四轮面试

公司名称：

思腾合力（天津）科技有限公司
Sitonholy(Tianjin) Technology Co., Ltd

主营业务：

思腾建立了完善的研发、生产、制造基地，通过自主创新的软硬件结合，打造了完整且自主可控的产品生态系统，涵盖深度学习、高性能计算、虚拟化、分布式存储、AI集群管理及云计算等多个领域。

公司规模：

思腾合力（天津）科技有限公司，自2009年成立以来，聚焦高性能计算及算力底座解决方案，目前公司近300人，全国均有运营地。我们紧跟AI发展趋势，专注于为AI应用提供高效算力支持，致力于成为卓越的算力解决方案引领者，构筑AI世界的无限可能。

核心产品：

我们坚持客户至上，核心产品线包括自研AI管理软件、算力服务器（GPU、信创）及云计算服务（裸金属、公有云）。同时，我们还拓展了算力运营、维保、垂直大模型一体机、定制化及液冷产品等五项业务，以满足客户多样化需求。

企业文化：

愿景：成为卓越的算力解决方案引领者，构筑AI世界的无限可能

职位名称：

大客户销售经理

工作地点：

武汉、上海、深圳

招聘人数：

3人

职位类型：

全职

任职要求：

1.大专以上学历，计算机、电子、通信或相关领域专业。
2.2年以上相关行业销售经验，有云计算、人工智能领域经验者优先。
3.对主流AI技术方案及应用场景熟悉，具有一定的商业视角和分析能力。
4.具有良好的客户高层沟通能力，文档撰写和演讲能力。
5.具备良好的跨部门沟通能力和团队精神。
6.具备项目管理能力，能够独立开发客户、维护客户关系。
7.了解项目管理，运营相关流程，具备汇报、宣传材料的撰写和宣讲能力。

投递邮箱：

maling@aiserver.cn

邮件标题：

职位+姓名+base地

招聘流程：

初试、复试两轮面试

公司名称：

阿里巴巴达摩院
DAMO Academy

阿里巴巴达摩院成立于2017年10月，是阿里巴巴设立的全球性科研机构，愿景寄语为“以科技，达未来”，定位是“致力于探索科技未知，以人类愿景为驱动力的研究院”，聚焦基础科学、创新性技术和应用技术研究。“达摩（DAMO）”代表“The Academy for Discovery, Adventure, Momentum and Outlook”。

DAMO Academy was founded in October 2017. It is a global research institute established by Alibaba. With the vision of "Tech to the Future," it positions itself as "a research institution committed to unraveling the mysteries of science and technology, driven by the vision of advancing humanity." This commitment is grounded in research spanning fundamental sciences, groundbreaking technologies, and practical, applied solutions. It stands for "The Academy for Discovery, Adventure, Momentum and Outlook".

职位名称：

算法工程师-用于决策的通用人工智能AGI技术研究
General Artificial Intelligence (AGI) Research for Decision-Making

工作地点：

杭州

招聘人数：

2人

职位类型：

全职

达摩院决策实验室在电力能源、石油石化及管网、航空、高铁、港口等工业场景与业务中遇到一系列当前AI、RAG、Agent Systems还不具备的关键能力，其核心瓶颈在于，这些系统在面对高风险、动态变化的物理世界与工业系统时，缺乏场景知识、深度因果理解和长期动态适应能力，导致其在自主决策和执行层面存在明显的局限性和不可靠性。
1. 长期记忆与自我认知建模：构建多层次记忆体系，让AI形成稳定的自我认知，减少幻觉。
2. 先进推理机制：赋予AI因果推理和复杂多步推理能力，实现基于记忆的反思与规划。
3. 自主智能体 (Autonomous Agents)：打造能自主制定目标、规划并持续适应开放环境的AI系统。
4. 持续学习与终身进化：让AI具备部署后持续学习新知识并与旧知识合理融合的能力。

Job Description
The Decision Intelligence Lab at DAMO Academy is tackling critical capability gaps in current AI, RAG, and Agent Systems when applied to industrial domains such as power and energy, petrochemicals and pipelines, aviation, high-speed rail, and finance. The key bottleneck lies in the fact that these systems lack scenario-specific knowledge, deep causal reasoning, and long-term self adaptability when facing high-risk, rapidly changing physical and industrial environments. As a result, they exhibit significant limitations and unreliability in autonomous decision-making and execution.
1. Long-Term Memory and Self-Modeling: Build a multi-level memory system that enables AI to form stable self-awareness and reduce hallucinations.
2. Advanced Reasoning Mechanisms: Equip AI with causal reasoning and complex multi-step reasoning capabilities, enabling reflection and planning based on memory.
3. Autonomous Agents: Develop AI systems capable of setting goals, planning, and continuously adapting to open environments.
4. Continual Learning and Lifelong Evolution: Enable AI to continuously learn new knowledge after deployment and integrate it effectively with existing knowledge.

任职要求：

1. 计算机科学、人工智能、认知科学、机器学习、应用数学或相关领域的硕士或博士学位。
2. 具备良好的编程能力，熟练掌握Python、C++或其他相关编程语言。
3. 熟悉以下一个或多个方面：元学习、先进推理机制、AI反思和规划、知识管理与更新，并掌握强化学习。
4. 出色的问题解决能力和独立工作的能力。良好的团队合作精神和沟通能力。英语读写流利，具备撰写科技论文能力。

Job Requirements
1. Master’s or PhD degree in Computer Science, Artificial Intelligence, Cognitive Science, Machine Learning, Applied Mathematics, or related fields.
2. Strong programming skills; proficient in Python, C++, or other relevant programming languages.
3. Familiarity with one or more of the following areas: meta-learning, advanced reasoning mechanisms, AI reflection and planning, knowledge management and updating, with a solid understanding of reinforcement learning.
4. Excellent problem-solving ability and capacity to work independently. Strong team spirit and communication skills. Proficient in English reading and writing, with the ability to author scientific papers."

职位名称：

算法工程师-基于AI的天气预报技术研究
AI4Weather Algorithm Engineer

工作地点：

杭州

招聘人数：

2人

职位类型：

全职

准确的天气预报具有巨大的社会价值和经济价值。近年来AI已经在天气预报领域取得了较大的进展，多个基于AI的全球模型在实际中也取得了比肩欧洲气象中心的HRES天气预报的性能。另一方面，在电力能源、交通运输等多个行业对于高精度天气预报的需求显著增加。比如新能源发电如风电显著依赖于天气条件。此外，现有的天气预报方法对极端天气的预测效果不尽理想，也需要借助AI工具进行深入探索。我们将重点结合实际市场上对于高时空精度天气预报的实际需要，在多种观测数据（气象站数据、雷达数据、卫星数据）上，重点关注风速、辐照度、温度、降雨等指标和极端天气，构建高精度的预测算法。

1. 基于团队开发的八观气象大模型，在综合多种数据的技术上，研发新颖的基于AI的天气预报算法，解决天气预报中的各类实际问题，比如降雨和各类极端天气的预测。
2. 负责天气预报算法在实际业务中的落地，包括搭建各种数据链路、推送天气预报结果或者部署推理模型。
3. 参与天气预报产品的工程开发、构建和部署，并能够根据实际业务反馈改进算法和产品。

The AI4Weather is increasingly important due to its higher accuracy and resolution, low deployment cost, and capability to incorporating different kinds of data. The AI-Empowered Weather and Trustworthy Forecasting team at DAMO Academy’s Decision Intelligence Lab is working on developing advanced AI4Weather algorithms and products. Our core technical mission is to leverage AI to solve challenging scientific problems in weather forecasting and support downstream applications. We have released our Baguan foundational weather forecasting model in 2024, and have successfully deployed it in several provinces including Shandong, Beijing, and Zhejiang. In the field of weather forecasting, our team has established collaborations with multiple leading meteorological research groups in China.
We are currently seeking talents to solve challenging problems in AI4Weather and build corresponding product.

Key Responsibilities:
1. Develop AI-based weather forecasting algorithms based on the team’s Baguan foundational weather forecasting model, with a focus on some key variables such as wind speed, temperature, precipitation, and various extreme weathers.
2. Develop multimodal weather forecasting algorithms by integrating different data, including data from ground sensors, radars, satellite sensors, etc.
3.  Based on the developed algorithms, build the weather forecasting product and service with the team.

任职要求：

1. 在机器学习/深度学习算法方面有较好的广度，并对VIT，MAE，生成式模型多模态融合等CV常见技术和深度时空建模有比较深入的了解。
2. 精通机器学习/深度学习常用开发架构Scikit-learn、PyTorch等，精通Python/Java/C++ 等至少一门语言，具有扎实的代码功底和实战能力。
3. 自我驱动，对技术和持续学习充满热情，注重创新性思维，乐于接触新场景、关注前沿新技术，并对跨学科合作感兴趣。
4. 有CCF-A类会议发表或竞赛获奖经历者优先。
5. 加分项：具有气象学基础，了解基本的大气动力学概念和数值天气预报模型，并熟悉大气科学中的多种数据。

Job Requirements
1. Ph.D. or master’s degree in computer science, artificial intelligence, meteorology, applied mathematics, or related areas.
2. In-depth understanding and experience of deep learning techniques, including Vision Transformers (ViT), Masked Autoencoders (MAE), generative models, multimodal fusion, and deep spatiotemporal modeling. Candidates with publications in CCF-A conferences or award-winning competition are preferred.
3. Proficient in mainstream ML/DL frameworks such as PyTorch; Strong programming skills in at least one programming language (Python/Java/C++), with solid hands-on experience.
4. Self-motivated, passionate about solving real-world problems in weather forecasting and related areas and interested in interdisciplinary collaboration.
5.  (Preferred) Background in meteorology, familiarity with fundamental concepts of atmospheric dynamics and numerical weather prediction (NWP) models, and experience working with diverse atmospheric science datasets."

职位名称：

算法工程师-医疗AI基础大模型技术研究
R&D for Foundation Models for Medical AI

工作地点：

北京，杭州

招聘人数：

3人

职位类型：

全职

医学影像（如CT、MRI、超声等）AI识别技术在疾病筛查、诊断和治疗过程中发挥着重要作用。达摩院医疗实验室癌症早筛（例如胰腺癌、胃癌、肝癌等）、影像报告生成、医学图像合成技术（AICG）等领域已有多年积累，相关创新成果发表于Nature Medicine/CVPR/ICLR等领域顶会顶刊。传统医学影像AI模型大多是在专门构建的小数据上训练专有小模型，受限于训练数据量和模型尺寸，此类模型通常泛化性较差无法满足真实世界的多中心需求。近几年大模型的兴起，特别是医疗垂域大模型的出现，为医学影像分析带来了新的机遇。我们期望通过研究医疗影像AI相关的基础模型技术（包括但不限于多模态大模型、基础模型、AIGC生成大模型、Agent智能体、大模型优化等），解决泛癌早筛、影像报告生成、医学影像数据合成、医学影像分析大模型、医疗AI智能体等医疗临床问题。

1. 负责泛癌筛查大模型、医学影像报告生成大模型、医学影像基础大模型研发，包括医学影像分析大模型、医学影像生成大模型、医疗多模态大模型、大模型训练推理优化等相关工作内容。
2. 分析业务技术需求，针对真实业务场景设计合理的技术方案与开发路线，通过技术创新和业务验证实现显著的业务价值和效率提升，并产出高质量的学术论文或技术专利。
3. 持续追踪多模态AI领域的最新技术与发展热点，优化现有技术和系统，提升性能与效率，在实际业务场景中进行验证，形成业内领先的技术服务能力和解决方案体系。
4. 处理与分析医学影像数据，将数据制备为模型训练可用数据。

AI technologies for medical image analysis (such as CT, MRI, and ultrasound) play a vital role in disease screening, diagnosis, and treatment. The DAMO Academy Medical AI Lab has a strong track record in fields such as early cancer screening (e.g., for pancreatic, gastric, and liver cancer), imaging report generation, and Medical Image Synthesis (AIGC). Our innovative research outcomes have been published in top-tier conferences and journals, including Nature Medicine, CVPR, and ICLR.
Traditional medical imaging AI models are often small, proprietary models trained on specially curated, small datasets. Limited by data volume and model size, these models typically exhibit poor generalization and fail to meet the demands of real-world, multi-center applications. The recent rise of large models, particularly those specialized for the medical domain, has created new opportunities for medical image analysis. We aim to solve critical clinical problems—such as pan-cancer early screening, imaging report generation, medical image data synthesis, large-scale medical image analysis, and medical AI agents—by advancing research in foundational AI technologies for medical imaging. This includes, but is not limited to, multi-modal large models, foundation models, AIGC-based generative models, AI Agents, and large model optimization.
Responsibilities:
1. Develop and research large models for pan-cancer screening, medical imaging report generation, and foundational medical imaging models. This includes work on large-scale analysis models, generative models, multi-modal models, and the optimization of large model training and inference processes.
2. Analyze business and technical requirements to design robust technical solutions and development roadmaps for real-world scenarios. Drive significant business value and efficiency gains through technological innovation and validation, resulting in high-quality academic publications or patents.
3. Continuously track the latest technologies and trends in the multi-modal AI field. Optimize existing systems and techniques to improve performance and efficiency, validating them in real-world business scenarios to establish industry-leading technical services and solutions.
4. Process and analyze medical imaging data, preparing and curating it into training-ready datasets for models.

任职要求：

1. 计算机科学、人工智能、电子工程、生物医学工程等相关专业的硕士或博士毕业生。
2. 精通深度学习、机器学习、计算机视觉、自然语言处理及医学影像处理，熟悉熟悉医疗影响AI模型、大模型预训练、多模态大模型、图像生成、医疗影像AI、训练推理优化等相关课题原理及其应用，能够根据具体问题选择并设计合适的模型和技术方案。
3. 具备良好的科研能力，曾在国际顶级会议和期刊（如ICLR、ICCV、CVPR、ECCV、NeurIPS、ICML、MICCAI、TPAMI、TMI、MedIA）上发表过高质量论文。
4. 熟悉主流深度学习框架（如PyTorch、TensorFlow），并具备Transformer、CNN等典型深度学习模型的原理及实现经验。
5. 熟练掌握编程语言（如Python、C++等），并熟悉LINUX环境的开发与调试。
6. 具备出色的团队协作精神和沟通能力，自我驱动，抗压能力强，拥有强烈的求知欲和对技术的热情，良好的数据和逻辑分析能力。

加分项:
1. 在计算机视觉、多模态学习或者医疗影像AI领域有深入研究，并在相关顶会/期刊（如CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, MICCAI, Nature/Science子刊等）上发表过高水平论文者优先。
2. 对医疗影像AI技术有深入理解，对医疗影像AI技术、视觉AIGC生成、视觉大模型、Agent智能体、Visual-Language Model及LLMs方面等技术有深入研究者优先。
3. 有医疗影像（尤其是CT影像）图像处理、自动化标注、报告生成等医疗数据制备及高效利用的经验者优先。
4. 有高影响力的开源项目或突出技术博客者优先。

1. Master's or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, Biomedical Engineering, or a related field.
2. Expertise in deep learning, machine learning, computer vision, natural language processing, and medical image processing. Familiarity with the principles and applications of AI models for medical imaging, large model pre-training, multi-modal large models, image generation, and training/inference optimization. Ability to select and design suitable models and technical solutions for specific problems.
3. Demonstrated strong research ability, with a publication record in top-tier conferences and journals (e.g., ICLR, ICCV, CVPR, ECCV, NeurIPS, ICML, MICCAI, TPAMI, TMI, MedIA).
4. Familiarity with major deep learning frameworks (e.g., PyTorch, TensorFlow) and hands-on experience with the principles and implementation of typical deep learning models such as Transformers and CNNs.
5. Proficiency in programming languages (e.g., Python, C++) and experience with development and debugging in a Linux environment.
6. Excellent teamwork and communication skills. Self-motivated, resilient, and able to work effectively under pressure. Possesses a strong intellectual curiosity, a passion for technology, and solid data and logical analysis abilities.

Preferred Qualifications (Bonus Points)
1. Candidates with in-depth research in computer vision, multi-modal learning, or medical imaging AI, demonstrated by publications in top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, MICCAI, Nature/Science sub-journals), are highly preferred.
2. In-depth knowledge of medical imaging AI technologies, especially in areas like visual AIGC, large vision models, AI Agents, Visual-Language Models (VLMs), and Large Language Models (LLMs).
3. Experience in medical data preparation and utilization, particularly with medical images (especially CT scans), including image processing, automated annotation, and report generation.
4. Contributions to high-impact open-source projects or authorship of a prominent technical blog."

职位名称：

算法工程师-医学影像
Algorithm Engineer - Medical Imaging & Processing

工作地点：

北京，杭州

招聘人数：

2人

职位类型：

全职

我们期待你具有医学影像/计算机视觉/机器学习等方面扎实的基础知识和丰富的实践经验;
我们期待你对医学临床问题感兴趣，有热情从事相关工作;
我们期待聪明、皮实、乐观、自省、追求卓越和自我驱动的优秀人士加入达摩院，共同开创医疗影像+AI的临床服务精准医疗新格局。

具体职责包括但不限于：
1、负责医学影像和计算机视觉基础算法分析、诊断、搜索、合成等方面的算法研究、系统研发和产品开发；包括研发多模态医学影像综合分析、医学影像合成与增强、scalable & generalizable 器官分割、病灶检测,、病人临床信息学、疾病精准诊断、疾病治疗方案预后优化和推荐、病人治疗随访并疗效评估等新一代的人工智能赋能的临床流程；
2、积极参与我们临床合作者的日常研发和研讨活动，能够从病人的角度出发，定义临床问题，研发临床人工智能解决方案。

Job Description:
We are looking for individuals with a solid foundation and extensive practical experience in medical imaging, computer vision, and machine learning.
We are seeking candidates who are passionate about clinical medical problems and are enthusiastic about working in this field.
We welcome bright, resilient, optimistic, self-reflective, and self-driven individuals who strive for excellence to join the DAMO Academy and help us pioneer a new era of precision medicine through AI-powered clinical services in medical imaging and analysis.
Specific responsibilities include, but are not limited to:
1. Lead the research, development, and productization of algorithms for the analysis, diagnosis, retrieval, and synthesis of medical images and computer vision. This includes developing next-generation AI-powered clinical workflows for: Comprehensive analysis of multi-modal medical images, Medical image synthesis and enhancement, Scalable & generalizable organ segmentation, Lesion detection, Patient clinical informatics, Precise disease diagnosis, Prognosis optimization and treatment plan recommendation, Patient follow-up and treatment efficacy evaluation, etc.
2. Actively participate in daily R&D activities and discussions with our clinical collaborators, with the ability to define clinical problems from a patient's perspective and develop AI-driven clinical solutions.

任职要求：

1. 良好的工程实现能力，熟练掌握C/C++、Java、Python等至少一门语言 ，能够提出并实现算法创新，并且能够在大规模综合性医学影像和临床数据上实现自己的算法并充分验证；
2. 极佳的科研能力，有成果发表在ICCV、MICCAI、IPMI、CVPR、ECCV、TMI、MedIA、NeurIPS、ICML、TPAMI等国际顶级会议、期刊者优先；
3. 良好的逻辑和数据分析能力，对本质性的创新感兴趣；
4. 熟悉计算机视觉、机器学习、医学影像分析与处理相关领域技术和应用，有大量实践经验者优先。

同时，我们还希望你：
1. 学习能力强，对新事物保有好奇心，并能快速适应新环境；
2. 良好的沟通能力和团队协同能力；能与他人合作，共同完成目标；
3. 对所在领域有热情，善于独立思考并反思总结。

Position Requirements:
1. Strong engineering and implementation skills, with proficiency in at least one programming language such as C/C++, or Python. Ability to propose and implement innovative algorithms, and to validate them on large-scale, comprehensive medical imaging and clinical datasets.
2. Excellent research capabilities, with a preference for candidates who have published work in top-tier international conferences and journals such as ICCV, MICCAI, IPMI, CVPR, ECCV, TMI, MedIA, NeurIPS, ICML, or TPAMI.
3. Strong logical thinking and data analysis skills, with a keen interest in fundamental innovation.
4. Familiarity with technologies and applications in computer vision, machine learning, and medical image analysis and processing. Candidates with extensive hands-on experience are preferred.

Additionally, we hope you have:
1. A strong ability to learn, a curiosity for new things, and the capacity to adapt quickly to new environments.
2. Excellent communication and teamwork skills, with the ability to collaborate effectively with others to achieve common goals.
3. A passion for your field, with strong abilities in independent thinking, reflection, and summarizing your work."

职位名称：

算法工程师-多模态
Algorithm Engineer - Multimodal AI

工作地点：

北京，杭州

招聘人数：

2人

职位类型：

全职

1. 负责多模态AI核心技术的研发，结合大语言模型前沿发展，打造多模态通用AI能力并探索其在具身智能方面的应用；
2. 追踪多模态AI最新技术和热点，优化、改进现有技术和系统，提升系统的性能和效率，在内外部业务场景验证，形成业内领先的技术服务能力和体系；
3. 负责多模态AI的业务技术需求支持，针对业务场景的真实需求，设计合理的技术方案和路线，通过技术创新和业务验证，实现业务价值和效率的提升。

1. Responsible for the research and development of core multimodal AI technologies. Combine these with the latest advancements in Large Language Models (LLMs) to build general-purpose multimodal AI capabilities and explore their applications in embodied intelligence.
2. Track the latest technologies and trends in multimodal AI. Optimize and improve existing technologies and systems to enhance performance and efficiency. Validate these advancements in both internal and external business scenarios to establish industry-leading technical service capabilities and frameworks.
3. Provide technical support for business needs related to multimodal AI. Design effective technical solutions and roadmaps based on the real-world requirements of business scenarios. Drive business value and efficiency through technological innovation and business validation.

任职要求：

1. 熟练掌握深度学习、机器学习、计算机视觉、自然语言处理的基础知识，熟悉常用模型的原理、特点及应用，能够结合需要解决的问题选择适当的模型，并设计合理的技术方案；
2. 良好的科研能力，有成果发表在ICLR、ICCV、CVPR、ECCV、NeurIPS、ICML、TPAMI等国际顶级会议、期刊者优先；有Visual-Language Model和大规模语言模型（LLMs）方面经验者优先；
3. 熟悉TensorFlow、PyTorch等深度学习框架，熟悉Transformer、ResNet、AlexNet等典型深度学习模型的原理和实现；
4. 熟悉Python、C++、Java等至少一门编程语言，熟悉linux环境；
5. 具备优秀的数据和逻辑分析能力、团队意识和沟通能力、自我驱动和抗压能力，具有强烈的求知欲和技术热情。

Position Requirements:
1. Proficient in the fundamentals of deep learning, machine learning, computer vision, and natural language processing. Familiar with the principles, characteristics, and applications of common models. Capable of selecting appropriate models and designing sound technical solutions to address specific problems.
2. Strong research abilities. Preference will be given to candidates who have published in top-tier international conferences and journals such as ICLR, ICCV, CVPR, ECCV, NeurIPS, ICML, or TPAMI. Experience with Visual-Language Models (VLMs) and Large Language Models (LLMs) is also preferred.
3. Familiar with deep learning frameworks such as TensorFlow and PyTorch. Understand the principles and implementation of classic deep learning models like Transformer, ResNet, and AlexNet.
4. Proficient in at least one programming language such as Python, C++, or Java, and familiar with the Linux environment.
5. Possess excellent data and logical analysis skills, a strong sense of teamwork, and effective communication abilities. Must be self-driven, resilient under pressure, and have a strong desire for knowledge and a passion for technology."

职位名称：

算法工程师-计算机视觉
Algorithm Engineer - Computer Vision

工作地点：

北京，杭州

招聘人数：

2人

职位类型：

全职

我们期望你具有计算机良好的视觉相关基础知识和实践经验；我们期待聪明、皮实、乐观、自省、追求卓越和自我驱动的优秀人士加入我们，共同开创视觉技术的新格局！

具体职责包括但不限于：
1. 负责图像/视频相关算法的前沿技术探索，研究方向包括但不限于图像/视频/3D内容生成、图像/视频多模态理解、Foundation model、检测、分类、分割、语义分析、压缩、超分、跟踪、检索、匹配、动作识别、3D重建、图像/视频编辑、图像/视频搜索、图像/视频翻译、图像/视频修复、视频插帧、视频技术、视频去抖、人脸/人体分析、运动预测、质量评价、自监督、半监督、域泛化、表征学习、知识蒸馏、模型量化、OCR、光流、训练/微调/推理加速等；
2. 负责图像/视频的理解、生成、加速等方面的算法研究和产品开发。

We are seeking individuals with a strong foundation and practical experience in computer vision. We welcome bright, resilient, optimistic, self-reflective, and self-driven individuals who strive for excellence to join us in pioneering a new landscape for vision technology!
Specific responsibilities include:
1. Exploring cutting-edge technologies for image/video-related algorithms. Research directions include image/video/3D content generation/editing/restoration, multimodal understanding of images/videos, foundation models, detection, classification, segmentation, semantic analysis, super-resolution, tracking, retrieval, matching, action recognition, image/video editing, search,, frame interpolation, face/human analysis, motion prediction, quality assessment, self-supervised learning, semi-supervised learning, domain generalization, representation learning, knowledge distillation, model compression/quantization, OCR, optical flow, acceleration of training, fine-tuning, and inference.
2. Leading algorithm research and product development in areas such as image/video understanding, generation, and acceleration.

任职要求：

1. 极佳的工程实现能力，熟练掌握C/C++、Java、Python等至少一门语言，ACM/ICPC、topcoder等编程比赛获奖者优先；
2. 良好的科研能力，有成果发表在ICCV、CVPR、ECCV、NeurIPS、ICML、ICLR、TPAMI等国际顶级会议、期刊者优先；
3. 良好的逻辑和数据分析能力，Kaggle、阿里天池大赛、以及相关学术会议组织的权威比赛获奖者优先；
4. 熟悉计算机视觉、机器学习、图像/视频分析与处理等相关领域技术和应用，有大量实践经验者优先。

同时，我们还希望你：
1. 学习能力强，对新事物保有好奇心，并能快速适应新环境；
2. 良好的沟通能力和团队协同能力；能与他人合作，共同完成目标；
3. 对所在领域有热情，善于独立思考并反思总结。

Position Requirements:
1. Excellent engineering and implementation skills, with proficiency in at least one programming language such as C/C++, or Python. Winners of programming competitions like ACM/ICPC, Topcoder, etc., are preferred.
2. Strong research capabilities, with a preference for candidates who have published work in top-tier international conferences and journals such as ICCV, CVPR, ECCV, NeurIPS, ICML, ICLR, or TPAMI.
3. Strong logical thinking and data analysis skills. Winners of prestigious competitions such as Kaggle, Alibaba Tianchi, or those organized by relevant academic conferences are preferred.
4. Familiarity with technologies and applications in computer vision, machine learning, image/video analysis, and processing. Candidates with extensive hands-on experience are preferred.

Additionally, we hope you have:
1. A strong ability to learn, a curiosity for new things, and the capacity to adapt quickly to new environments.
2. Excellent communication and teamwork skills, with the ability to collaborate effectively with others.
3. A passion for your field, with strong abilities in independent thinking, reflection, and summarizing your work."