NVIDIA are seeking dynamic Solution Architects with specialized expertise in training Large Language Models (LLMs), implementing RAG workflows, and agentic inference. You will leverage the full NVIDIA software & hardware ecosystem to design, optimize, and deliver production-grade
NVIDIA’s Solution Architect team is looking for an AI-focused Solutions Architect specializing in Agentic AI inference. We work with the most advanced computing hardware and software, driving the latest breakthroughs in artificial intelligence. As AI applications rapidly
Overview About the Role & TeamAs the Vice President of AI Market Research & Strategy, you will serve as the organization’s definitive authority on the global Artificial Intelligence landscape. Your mandate is to lead comprehensive, external-facing
Company Description About Grab and our workplace Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility,
大模型算法工程师 北京 技术 - 算法 硕士及以上 职位描述 1、大模型训练与优化：负责金融场景大语言模型的训练全流程研发，持续提升模型的推理、对齐与泛化能力，设计并实现基于强化学习的大模型训练方案（如 PPO、GRPO 等），优化奖励模型（Reward Model）设计与训练稳定性；2、Agent 系统研发：构建与优化基于大模型的 Agentic 系统，包括任务规划、工具调用（Tool Use）、多智能体协作、长程记忆与推理等核心能力；3、自进化系统探索：研究并落地模型自我迭代（Self-Evolving）机制，推动模型能力的持续自主提升；4、前沿技术跟踪：跟踪大模型领域最新进展（RL、Agent、harness），并结合业务场景快速验证与落地。 职位要求 1、计算机、人工智能、数学、统计等相关专业硕士及以上学历；2、扎实的机器学习/深度学习基础，熟悉 Transformer 架构及主流大模型原理；3、熟练掌握 Python，熟悉 PyTorch 等主流深度学习框架；4、熟悉大模型训练全流程（预训练、SFT、对齐训练等），有实际训练经验；5、良好的工程能力、问题分析能力与团队协作意识。 优先条件（加分项）1、具备大模型监督微调/强化学习训练经验，有奖励模型设计与训练调优经验者优先；2、具备 Agentic 系统研发经验，熟悉 Function Calling、多智能体框架、规划与推理链路者优先；3、具备自进化 / 自我改进系统相关研究或落地经验者优先；4、在顶级会议/期刊（NeurIPS、ICML、ICLR、ACL、CVPR 等）发表过论文，或有知名开源项目贡献者优先。 职位信息 部门： 技术体系 投递温馨提示：投递顺序代表志愿顺序，请同学谨慎选择 投递...
AutoTraining 工程师/研究员 北京 校招 实习 技术 - 基础架构 职位 ID：A227496 职位描述 我们正在构建以数据为核心的自动化模型增强系统：为后训练生成高质量数据、筛选高价值样本，持续提升模型能力。现有数据远未触及模型的能力上限，数据的构造、评判、配比与闭环仍有大量空白，等你来定义。工作内容-数据合成与构造：设计并实现高质量训练数据的生成链路（模型自生成、教师蒸馏、任务改写、难度爬升、多样性扩展等），持续扩充数据的覆盖面与深度-数据质量与筛选：搭建数据裁定与清洗机制（规则校验、执行验证、模型评判、去污染、去重），把数据质量标准沉淀为可复用、可度量的规范-SFT 训练与迭代：负责监督微调的实验设计、训练调优与效果归因，探索数据配比、课程式训练、多轮蒸馏等提升手段-自增强闭环建设：将生成、筛选、训练、评测、回流打通为自动化流水线，减少人工介入，提高迭代效率-前沿跟进：跟进并复现数据合成、蒸馏、self-improvement、post-training 等方向的最新工作，评估是否引入现有链路 职位要求 -专业与背景不限；学习能力强，能应对开放性问题和高不确定性的研究任务-在数据或工程方向至少一项有突出能力：能从样本设计层面提升模型效果，或能独立搭建稳定高效的数据与训练链路-具备数据判断力：能从样本、模型输出和评测结果中发现问题-对数据驱动的模型增强、自进化系统、AI4AI 方向有浓厚兴趣加分项-熟悉大模型 post-training 流程，理解 SFT 的训练机制、数据格式与常见失效模式-熟悉主流训练框架（如 ms-swift、LLaMA-Factory、DeepSpeed、Megatron 等）及分布式训练-有 Agentic Coding、代码生成、SWE-bench / HumanEval / MBPP 等任务的训练或评测经验-熟悉评测体系搭建，理解数据污染、评测可复现性等问题并有实际处理经验-在相关方向发表过论文，或有优秀的开源项目、竞赛成绩、可展示的研究成果 投递...
Key Responsibilities As an AI Scientist/Senior Scientist, you will: Design, develop, benchmark, and implement advanced AI/ML models (self-supervised and supervised) for biologics discovery and engineering, including protein language models, structure prediction models, de novo design algorithms,
Job Responsibilities Regulatory Intelligence & Advisory Monitor technology regulatory and legislative developments across China financial regulators and government agencies, including CSRC, NFRA, PBOC, SAFE, CAC, CBA, and Exchange centers. Support the China franchise Compliance team on
Job Responsibilities Regulatory Intelligence & Advisory Monitor technology regulatory and legislative developments across NFRA, PBOC, SAFE, CAC, CBA, CFETS, and SGE. Support China LIB Compliance on technology regulatory and compliance matters. Own and coordinate RFI responses
AI运营（AI互动漫画方向） Beijing Full-time Internet / Electronics / Games Responsibilities 职位描述你将加入一个用 AI 实时生成漫画的消费级产品。我们相信每个人都可以成为故事的导演，而你的工作，是让 AI 学会像漫画家一样思考：分镜怎么切、镜头怎么给、光线怎么打、画面怎么讲故事。1. 核心Prompt研发与优化：结合业务场景与用户需求，主导设计、测试与迭代高质量的Preset（包括Prompt、System Prompt、模型参数配置等）；针对推理模型与非推理模型的差异化特性，制定相应的提示策略，持续优化模型输出的准确性、相关性与创造性。2. AI Agent与工作流设计：深入理解并实践以Agent为核心的新范式，设计多步骤、多工具调用的自动化工作流；熟悉MCP、Skills、Harness等新兴协议，探索AI与外部工具、数据库、API的深度集成。3. 视觉叙事与画面把控：主导漫画生成的分镜设计与视觉语言，包括镜头构图、景别切换、光影氛围、角色表现力等；将漫画创作的专业经验转化为可复用的 Prompt 模板和生成策略，持续提升 AI 出图的叙事质量与美术水准。4. 模型能力探索与应用：紧跟行业前沿，主动调研和评测新兴文生图与图生图模型（含开源与闭源），尤其关注漫画/插画风格生成、角色一致性、画面质量与生成效率；深入实践 Midjourney、Stable Diffusion、Flux 等主流文生图模型及 LoRA、ControlNet、IP-Adapter 等风格与构图控制手段，探索其在漫画生成、角色设计、分镜出图等场景下的应用潜力与边界。5. 知识体系构建与沉淀：建立并维护公司级的Prompt知识库与资产库，系统性地沉淀优秀案例、工程方法论与最佳实践。6. 跨部门协同与项目推进：与产品、算法、工程及设计团队紧密协作，深刻理解需求，确保AI能力精准转化为可落地的业务成果。在Agentic产品的迭代周期中，承担AI侧的需求对齐与验收工作。7. AIGC数据分析与结果评估：对用户与模型的交互数据进行分析，建立评估指标体系，深入理解用户偏好；结合A/B测试与自动化评估框架（LLM-as-Judge等方法），量化不同策略的效果，为产品迭代提供数据支撑。 Qualifications 职位要求1. AI领域热情与深度思考：对AIGC领域抱有浓厚兴趣，是主流AI产品（如ChatGPT/Claude/Cursor、Midjourney/Stable Diffusion、SillyTavern、Cherry Studio、Openclaw等）的深度用户，并有自己独到的见解和批判性思考。2.
Join our Team AI-Native Development Intern We build AI-native quality engineering and digital workforce solutions. You will work with experienced engineers to develop AI agents, automation tools, and intelligent workflows that improve software quality, delivery efficiency,
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best
Join our Team About this opportunity At Ericsson, we are driving the evolution of mobile communication technologies from 4G and 5G to the future 6G ecosystem. We are transforming the way products are designed, developed, verified,
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: About us: We are Qualcomm AI Research that are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous
NVIDIA are seeking dynamic Solution Architects with specialized expertise in training Large Language Models (LLMs), implementing RAG workflows, and agentic inference. You will leverage the full NVIDIA software & hardware ecosystem to design, optimize, and deliver production-grade
NVIDIA are seeking Solution Architects with specialized expertise in training and deploying Large Language Models (LLMs), implementing RAG workflows, and agentic inference. You will leverage the full NVIDIA software & hardware ecosystem to design, optimize, and deliver
NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 30 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of
NVIDIA is looking for an enthusiastic and forward-thinking solution architect to help in the enablement of Industry Software Vendors (ISVs). These ISVs are developing the Agentic AI stack for multiply workloads which will be used to empower
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with China industrial/research community to integrate