Datasets Jobs In Beijing (Peking) - 20 Job Positions Available

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

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

Company Description About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything.

About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for machine learning company—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for

大模型算法工程师-广州/北京 北京、广州 全职 职位描述 岗位职责1. 行为预测前沿算法研发： 参与研发下一代端到端或基于大语言模型（LLM）的社会车/行人意图与轨迹预测算法，应对极其复杂的博弈与交互场景；2. 多模态大模型落地 (Issue Triage)： 探索并应用多模态大模型（如视频+点云+文本序列），针对海量路测接管 Case 进行智能分析与自动化诊断（Issue Triage），挖掘并提炼长尾场景（Corner Cases），加速数据闭环；3. AI Agent 智能体构建： 开发基于大模型的 AI Agent 框架，用于自动化场景仿真、数据自动标注、多智能体交互演练及模型效果的自动化评估；4. 模型优化与部署： 参与端到端模型或大模型在自动驾驶链路中的微调（SFT/RLHF）、推理加速与轻量化部署，确保算法在实际业务中的高效流转。 职位要求 1. 在顶级会议或期刊（如 CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS 等）有相关论文发表者优先；2. 在知名轨迹预测公开数据集（如

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,

JOB PURPOSE: To supervise and provide inputs to data management and statistical analyses for outsourced real-world studies (RWS) and take a leading statistical role for RWS with in-house datasets. JOB DUTIES AND RESPONSIBILITIES: Interact with CRO to

Company Description About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything.

About the Beijing AI Center The Beijing AI Center is a new strategic investment by AstraZeneca to accelerate drug discovery through AI. The center brings together AI researchers, computational scientists, and platform engineers to apply foundation

The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s

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,

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,

Tätigkeitsbereich:Produktion Fachabteilung:Strategic & NTP Planning China & MO/EC Hub Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:01.09.2026 Veröffentlichungsdatum:03.07.2026 Stellennummer:MER00044IH Arbeitszeit:Vollzeit Bewerben Aufgaben Objective of Job: Design, build, and maintain robust, scalable data architectures that

科研数据评测与项目交付方向 北京 全职 硕士及以上 职位描述 1. 科研数据与模型评测体系建设设计、搭建并持续迭代覆盖多模态科研数据的评测基准、评测集与评测方法，包括反应、物质、谱图、知识图谱、文献、语料库等数据类型，形成可用于项目验收、产品迭代和对外展示的 benchmark 资产。2. 化学数据库与科研语料库评测落地围绕化学数据库、科学语料库及相关模型能力，设计数据质量、结构化准确性、知识抽取效果、模型问答能力、可追溯性、覆盖率、一致性等关键指标，组织内部测评、抽样核验与问题归因，支撑项目阶段验收与综合验收。3. LLM-as-a-Judge / LLM-as-a-Verifier 评测流水线建设设计并落地基于大模型的自动化评测流水线，包括 prompt 设计、CoT 设计、多 agent 协同、批处理、可控解码、结果聚合与一致性校准，重点解决专业科研场景下大模型评测的幻觉、偏差和稳定性问题。4. 专用评测模型训练与优化基于领域评测数据集，参与 fine-tune 或训练专用打分器、分类器、embedding 模型，与 LLM-as-a-Judge / LLM-as-a-Verifier 路径互补，提升评测结果的稳定性、专业性与可量化程度。5. 评测驱动的算法、数据与产品迭代主导或参与评测结果分析与问题归因，输出可执行的算法优化、数据采集、数据清洗、标注策略与产品改进建议，与算法、数据、产品、工程团队形成“评测—迭代—再评测”的闭环机制。6. 科研项目统筹与交付管理将既有项目书、年度任务和验收要求转化为可执行的里程碑计划，明确交付物清单、验收口径、质量目标与风险节点，持续跟踪项目进度，推动阶段性任务和综合验收按期完成。 职位要求 1. 教育背景与专业基础硕士及以上学历，化学、化工、化学信息学、材料、生物医药、计算机、人工智能等相关专业优先，博士优先；具备跨学科科研经历或 AI for Science 项目经验者优先。2.

NLP / LLM 应用工程师 北京 社招 全职 职位 ID：A99270 职位描述 1.负责Agent大模型能力层建设，包括Prompt工程体系设计、RAG检索增强生成、上下文工程优化。2.搭建企业知识库的Embedding Pipeline，实现高质量语义检索。3.设计和优化Agent的意图识别、对话管理、知识问答等核心NLP能力。4.负责Agent评测体系落地：构建评测数据集（Golden Dataset）、设计评测指标（Faithfulness、Answer Relevancy、Context Precision等），实现自动化评测流水线。5.探索多模型路由策略（国内外大模型混合调用），平衡效果与成本。 职位要求 1.本科及以上学历，2年以上LLM应用开发经验，重落地非纯研究。2. 精通Python，有真实LLM应用上线经验（非Demo级别）。3.熟悉RAG、Embedding、向量检索全链路，有向量数据库使用经验（Milvus/Chroma/Pinecone）。4.有Agent/RAG评测经验：熟悉RAGAS、DeepEval、TruLens、PromptFoo中至少一种评测框架。5.熟悉LangChain/LlamaIndex/LangGraph等LLM应用开发框架。6.熟悉主流大模型API（OpenAI、Anthropic、通义千问、文心等）。7. 对生成质量和推理成本敏感，能系统化评估与优化模型效果。8.了解Genspark搜索Agent的RAG架构、Manus的多步推理评测方法者加分。 投递...

Agent 评测工程师 北京 社招 全职 职位 ID：A188605 职位描述 1. 搭建Agent端到端评测体系，覆盖单轮问答质量、多轮对话一致性、工具调用准确率、任务完成率等维度。2. 构建和维护评测数据集（Golden Dataset），包括标准问答对、多步推理用例、边界Case、对抗样本等。3. 开发自动化评测Pipeline，集成到CI/CD流程，实现Agent版本发布前的自动回归测试。4. 设计Agent安全性评测方案，包括Prompt注入防御、信息泄露检测、权限越界测试。5. 对标Manus、Genspark等产品的Agent能力，定期进行竞品Benchmark对比评测。6. 输出评测报告，驱动算法和工程团队持续优化。 职位要求 1.本科及以上学历，2年以上AI/NLP评测或QA工程经验。2.熟悉Agent评测框架：RAGAS、DeepEval、TruLens、AgentBench、PromptFoo中至少两种。3.有评测数据集构建经验，熟悉数据标注流程与质量控制方法。4.熟悉LangSmith、LangFuse等LLM可观测性工具，能追踪Agent全链路执行日志。5.了解主流Agent Benchmark（SWE-Bench、WebArena、GAIA、ToolBench等）。6.精通Python，有自动化测试框架开发经验。7.了解红队测试（Red Teaming）、对抗性评测方法者加分。8.有Manus、Genspark、Perplexity等AI Agent产品深度使用与评测经验者优先。 投递...