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When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people…
1.参与大模型(文本 / 多模态 / Agent)安全防御算法的研发,提升内容安全机审效果与可信模型的内生安全能力; 2.探索 SFT/DPO/RL等算法,探索多目标奖励模型、过程监督、跨模态对齐等前沿技术在大模型安全领域的应用,应对大模型场景新型安全威胁; 3.推动大模型安全算法的应用落地,保障微信业务场景下大模型安全算法体系的性能与效果; 4.持续跟踪业界前沿算法工作,评估新技术的应用潜力,推动新技术在安全场景下的探索和应用。…
主要负责 TokenFoundry 大模型训练平台建设,为大模型训练提供稳定、高效、弹性的 AI Infra 基础设施。你将参与新一代大模型训练平台的架构演进,支撑大规模分布式训练任务编排、异构集群资源调度、训练容错与弹性恢复等核心系统,持续提升研发效能与算力利用率。 主要工作职责和挑战 1. 训练任务平台设计与研发:负责分布式训练任务的提交、编排、调度、可观测性与全生命周期管理系统的架构设计及核心代码实现。 2.…
● 负责主流深度学习框架在Token Foundry大模型场景下的工程优化,包括但不局限于MoE模型大规模训练框架、多模态训练框架、RLHF训练框架等,参与包括基模型Pretrain、SFT等多个阶段的训练任务优化; ● 致力于提升不同阶段模型训练负载的极限吞吐,能够针对不同模型负载系统化的分析不同阶段耗时并提供相应的优化手段,优化手段包括但不局限于算子优化、通信优化、分布式策略优化等; ●…
Principal Machine Learning Engineer turning research direction into production-grade ML systems for an AI-native productivity startup: building end-to-end training, evaluation, and inference pipelines, fine-tuning large models, and optimizing GPU deployment. Core stack spans PyTorch/JAX, distributed training frameworks (DeepSpeed, FSDP, Ray), and LLM inference tooling.
职位概述: 作为平头哥数据中心产品线深度学习算法框架高级技术专家,将负责设计、开发和优化深度学习算法框架,提升算法模型在PTG AI芯片上的运行效率和性能。跨团队协作,确保高质量的代码和技术实现,同时为团队提供技术指导。 主要职责: 算法框架适配与开发: 对开源AI软件框架的内部实现有深入理解,能够快速将广大开源软件适配到 AI 芯片上,同时确保性能达到最优。同时根据公司AI芯片的差异化的功能,在框架层面实现软硬件结合的解决方案。…
阿里云PAI团队致力于打造业界一流的一站式AI平台,拥有万卡级训练能力与超大规模异构资源调度技术,为复杂模型训练与推理任务构建坚实基座。PAI平台不仅是通义大模型研发与落地的核心基础设施,也作为公共云服务的关键载体,支撑众多行企业构建大模型核心业务。平台提供从数据标注、预处理、模型训练、推理服务到开发环境与工作流调度的全链路工程支持,全面覆盖AI项目从实验探索到规模化落地的完整价值链。作为大模型训练系统研发工程师,您将深度参与以下工作…
1、负责商增部门机器学习推理平台建设工作,支持CTR/LLM模型训练/推理优化,确保系统高效稳定。 2、负责CTR/LLM推理引擎优化,基于业界先进经验设计开发及优化CTR/LLM推理框架,支撑GR/LLM模型在外卖/到店/零售/医药等场景的业务需求。 3、负责高性能算子开发和优化,针对Transformer等结构,通过指令级优化、内存访问优化等手段,提升算子性能,充分利用硬件能力。…
1.参与 Agent 大模型的后训练工作,在 SFT、奖励模型、强化学习等方向进行方案设计、数据构建与训练落地,持续提升真实场景下的规划、推理、工具调用与指令遵循能力; 2.针对 Agent 任务执行中的能力短板(如多步规划、抗干扰与幻觉抑制等),设计定向的训练优化方案,并构建数据合成、清洗与质量评估管线;面向意图识别等特定场景模型进行训练与优化,结合业务需求完成定制化的能力构建;…
About Pangram Labs Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products…
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And…
Job Description About the Team The Compression and Parity team in GM's Autonomous Vehicle organization makes aggressive model optimization safe enough to ship repeatedly. We compress and quantize models headed for…
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business…
Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive…
Job Description Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA three times per week at minimum or other frequency dictated by the…
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within AI/ML Data Platforms, you are an integral…
深入参与 Alibaba Token Hub 事业群 MaaS 业务(Model as a Service)的核心算法研发,以前沿的技术驱动顶层业务创新,定义下一代 AI-Native 交互范式。结合阿里云真实业务场景,基于语音与全模态大模型(Omni),打造行业领先的全双工语音交互能力,并将核心能力反哺至基座模型。具体工作内容包括但不限于:…
Команда специализируется на R&D NLP. Мы первые, кто применяет самые передовые подходы и технологии к существующим системообразующим процессам. Твоими коллегами будут сильные специалисты NLP. Основной фокус –…
# Principal AI Engineer ## Job Summary As a **Principal AI Engineer**, you will be the most senior individual contributor in AI engineering, responsible for shaping the applied research direction for Task-Specialized…
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