SummaryWe are looking for engineers with a passion for using machine learning to create intelligent applications. Be part of a highly accomplished, deeply technical and close-knit team of machine learning engineers, you will create tools that
Responsibilities: Develop and optimize Embedded ML inference engines for microcontrollers. Train and fine-tune machine learning models using TensorFlow and PyTorch to be deployed on resource-constrained devices. Implement and experiment with techniques to improve model performance on low-power
Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:RD China Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:01.09.2026 Veröffentlichungsdatum:08.07.2026 Stellennummer:MER00045G8 Arbeitszeit:Vollzeit Bewerben Aufgaben Objective of Job: Defect management is responsible for driving tickets resolution process for China
Are you ready to shape a better tomorrow? AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help
SummaryImagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized industries. It’s the diversity of those people and their ideas that encourages
SummaryApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s
Forward Deployed AI Engineer 北京 全职 研发 - 高级技术职位 职位描述 About the RoleWe’re seeking engineers who enjoy working directly with customers to build real solutions using LLMs. In this role, youll integrate into client environments to
游戏用户画像专家 北京 全职 运营 - 用户运营 职位描述 - 构建并持续优化游戏用户的多维度画像体系（如行为偏好、付费能力、生命周期阶段、设备环境、社交关系等）；- 深度分析用户行为与转化路径，识别高价值用户群及潜在流失风险群体；- 与算法、广告投放、产品团队紧密协作，将用户画像应用于精准投放、个性化推荐、召回策略等场景；- 设计并验证基于用户分群的投放策略（如Lookalike扩展、分层出价、动态创意匹配），提升获客效率与ROI；- 监测投放渠道（Meta、Google、TikTok、Unity、国内信息流等）的用户质量，反哺画像标签优化；- 建立画像效果评估机制，通过AB实验、归因分析等方式量化策略收益；- 探索AI/ML在用户分群与预测建模中的应用机会，推动画像系统智能化升级。 职位要求 - 本科及以上学历，统计学、计算机、数学、数据科学或相关专业优先；- 2年以上互联网或游戏行业数据分析、用户画像、广告算法支持或增长策略经验；- 熟练掌握SQL，具备Python/R等数据分析能力，熟悉常用机器学习基础概念（聚类、分类、特征工程等）；- 理解主流广告平台（如Meta、Google 等）的定向逻辑与出价机制；- 具备良好的业务sense，能将复杂用户行为抽象为可落地的标签与策略；- 优秀的跨团队沟通能力，能与算法工程师、投放运营、产品经理高效协作；- 热爱游戏，对玩家行为有敏锐洞察者优先。 投递...
FDE 北京 全职 销售 - 销售支持 职位描述 我们正在寻找喜欢直接与客户合作，使用大语言模型（LLMs）构建实际解决方案的工程师。在这个岗位上，你将融入客户环境，了解他们面临的挑战，协作构建解决方案，并应对不断变化的问题领域。你将与内部合作伙伴（如销售、解决方案架构师、客户成功和产品团队）密切合作，以确保这些项目的成功，并将宝贵的见解反馈给公司。你的职责与客户合作，深入了解他们的技术和业务需求。- 使用敏捷、迭代的方法设计和构建端到端的AI驱动应用程序。- 为原型和实际部署制定并管理详细的项目范围和实施计划。作为值得信赖的技术合作伙伴，与客户团队并肩工作，在其基础设施上实施解决方案。-与跨职能团队协作，确保顺利交付和持续成功，同时分享见解以改进内部流程和产品。记录经验教训和最佳实践，以帮助在整个组织内扩展FDE职能。 职位要求 你所具备的条件-至少4年软件工程或涉及直接客户互动的类似角色的工作经验。有高达50%的出差灵活性，以便与客户进行现场协作。有构建快速原型并根据用户反馈进行迭代的良好记录。-有领导或参与AI/ML解决方案部署的经验，熟悉网络和云技术。具备扎实的前端工具技能，如React或Next.js；后端开发技能，使用Python或Node.js等语言；以及数据分析工具技能，如MaxCompute、ClickHouse或其他SQL数据库。-熟悉包括阿里云、腾讯云、华为云在内的云平台。-具备出色的沟通能力，能够向技术和非技术利益相关者传达复杂的技术主题。- 采用务实的方法解决问题，主动学习并根据需要进行调整，以取得有效的成果。 投递...
Join our Team About this opportunity: Radio Product Integration team is responsible for HW, SW and algorithm integration of Ericsson radio products. Integration engineers work closely with different product development teams, including ASIC/ FPGA design, digital
Job Purpose About the Role Were looking for a mid-level technical specialist to join a team that supports AI data collection and annotation projects. The role sits at the intersection of engineering, automation, and analytics —
Canonicals Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users. As a Software Engineering Manager you will lead and manage the
Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them
About A1 There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more
【27届校招】大模型训练推理框架工程师 深圳、北京 正式 研发 - 算法 职位描述 负责大模型训练、推理和评测的基础设施研发，为算法团队提供高效稳定的工程底座。1、训练系统：设计和优化大规模分布式训练架构（Pretrain/SFT/RL），解决千卡级训练的通信、调度、容错问题；2、推理部署：基于 vLLM 等框架优化大模型推理性能，支撑 VLT/Omni 等模型在 XP5 端侧和云端的部署；3、评测平台：开发 DeepInsight 评测系统，支持 LLM/VLM/WBC/VLA 多类模型的自动化评测、报告生成和 CI/CD 集成；4、MLOps 工具链：构建模型版本管理、实验追踪、数据管理、资源调度等基础设施，提升研发效率；5、RL 训练环境：构建分布式强化学习训练系统，支持 Agent-环境大规模并行交互。 职位要求 1、硕士及以上学历，计算机、软件工程等相关专业；2、 精通 Python，熟练掌握 C++/Go 至少一门；3、在以下至少一个方向有丰富以上经验：- 分布式训练系统（Megatron-LM/DeepSpeed/FSDP）；- GPU 编程与高性能计算（CUDA/NCCL/RDMA）；- ML 平台开发（Kubernetes/Ray/Airflow）；- 模型推理优化（TensorRT/vLLM/量化部署）；4、理解大模型训练和 RL 训练的基本流程。 投递...
We are building the next generation of GPU‑accelerated recommendation tools, redefining how models are trained and deployed at scale. Our mission is to make developing and productizing GPU‑based recommender systems as seamless, efficient, and powerful as
NVIDIA networking designs and manufactures high-performance networking equipment that enable the most powerful super computers in the largest data centers in the world. With a distributed collection of NVIDIA GPUs inter-connected by networking solutions such as
Mobileye is a global pioneer in computer vision, machine learning, data analytics, localization and mapping for ADAS and autonomous driving. Mobileye China R&D Center develops REM, our core mapping & localization solution for autonomous vehicles. We
SummaryAre you passionate about frontier AI technology and driving its implementation into real-world products? As part of Apples AI and Machine Learning org, we inspire and create groundbreaking technology for large language models, multi-modal models, with