Principal Data Scientist - Cloud Gaming and AI

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

Join the NVIDIA GeForce NOW cloud team that allows users to play high-quality PC games on various devices, without the need for a dedicated gaming PC or console. NVIDIA 's GeForce NOW service is built on top of our GPU technology, including our proprietary GPU architectures and software optimizations allowing efficient and high-quality experience even at high resolutions and fps and at industry leading low latencies. Our team is building the Diagnostic, Prescriptive and AI-augmented Analytics solutions that encompass processing, visualization, anomaly detection, root cause and predictive modeling for the benefit of millions of our end users. Our active projects include real-time forecasting of demand, constraint-optimized capacity allocation, dynamic prescriptions per session, Customer Onboarding and Voice of Customer Analytics, targeted Customer Outreach campaigns based on Customer Retention modeling, effective personalized diagnostic recommendations, LLM Chatbot. You will wield the power of Data and AI to help globally deliver a best-in-class cloud computing/streaming performance and experience. Our technology stack relies on industry standard components and tools (Python, R, Pandas, JupyterLab, Spark, SQL, Databricks, MLFlow, Delta Lake, Grafana, Kibana, Kubeflow, Elyra, Kubernetes, Gitlab, CI/CD, MLOps, Kafka, SQS, Kubernetes) What you'll be doing: Provide Technical Leadership to the team of Data Scientists and Engineers working on global deployment at scale of GPU Compute services. Work with Leadership and Stakeholders to understand top level requirements, build a tech roadmap, design solutions and guide the team to deliver results. Acquire and apply domain knowledge of the product and platform to lead the design, implementation, and deployment of AI/ML based solutions for generating actionable insights and real-time prescriptive analytic pipelines to drive optimal outcomes for production services. Build and Deploy real time and scalable solutions for real time User Diagnostics, LLM Chatbot, dynamic Suspicious Activity Detection, User feedback based clustering and alerting and LLM based Actionable Insight Generation solutions for Engineering And Management. Improve productivity of the org by wrangling petabytes of data using statistical/AI/ML/LLM models to provide actionable and real time insights. Leverage pioneering Forecasting models and Constraint Optimization solvers to improve capacity management and deliver server efficiency and end-user latency. Leverage innovative ML/AI predictive models with explainability for User Retention/Churn and designing outreach campaigns. Build innovative multi-agent self-learning Harnesses for improving engineering productivity for analytics and deployments. What we need to see: Master’s/PhD or equivalent experience in Data Science, Statistics, Mathematics, Physics, Operations Research or related quantitative field 15+ years of software experience for large-scale and reliable production deployments and 8+ years of proven experience in Statistics/AI/ML Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, Pytorch, TensorFlow for large projects. Experience with common tools for data storage and processing (e.g. Spark, Pandas, Delta Lake) including drilling into problems of running large scale software in a big network. Excellent verbal and written communication skills to convey rich data insights to non-Technical and Technical Stakeholders. An outstanding track record of successful past projects, as a lead, related to the research and application of data science at scale. Experience of User Retention Modeling, LLMs, Time Series Forecasting or Operations Research is a plus. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering

加入NVIDIA GeForce NOW云团队，该团队让用户能够在各种设备上畅玩高质量PC游戏，无需专用的游戏PC或主机。NVIDIA的GeForce NOW服务构建在我们的GPU技术之上，包括我们专有的GPU架构和软件优化，即使在高分辨率和fps下也能实现高效、高质量的体验，并达到行业领先的低延迟。我们的团队正在构建诊断、规范性和AI增强分析解决方案，涵盖处理、可视化、异常检测、根本原因和预测建模，造福数百万终端用户。我们活跃的项目包括需求实时预测、约束优化容量分配、每会话动态处方、客户入门和客户之声分析、基于客户留存建模的定向客户外联活动、有效的个性化诊断建议、LLM Chatbot。您将运用数据和AI的力量，帮助在全球范围内交付一流的云计算/流媒体性能和体验。我们的技术栈依赖于行业标准组件和工具（Python、R、Pandas、JupyterLab、Spark、SQL、Databricks、MLFlow、Delta Lake、Grafana、Kibana、Kubeflow、Elyra、Kubernetes、Gitlab、CI/CD、MLOps、Kafka、SQS、Kubernetes）您将做什么：为数据科学家和工程师团队提供技术领导，该团队负责GPU Compute服务的全球大规模部署。与领导层和利益相关者合作，理解顶层需求，构建技术路线图，设计解决方案并指导团队交付成果。获取并应用产品和平台的领域知识，领导基于AI/ML的解决方案的设计、实施和部署，以生成可操作的洞察和实时规范性分析管道，推动生产服务实现最佳结果。为工程和管理构建并部署实时且可扩展的解决方案，用于实时用户诊断、LLM Chatbot、动态可疑活动检测、基于用户反馈的聚类和告警，以及基于LLM的可操作洞察生成解决方案。通过使用统计/AI/ML/LLM模型处理PB级数据，提供可操作的实时洞察，提高组织生产力。利用开创性预测模型和约束优化求解器改进容量管理，提升服务器效率和终端用户延迟。利用具有可解释性的创新ML/AI预测模型进行用户留存/流失分析和设计外联活动。构建创新的多智能体自学习Harnesses，以提高分析和部署的工程生产力。我们需要看到：数据科学、统计学、数学、物理学、运筹学或相关定量领域的硕士/博士或同等经验。15年以上大规模可靠生产部署的软件经验，以及8年以上统计/AI/ML的 proven 经验。精通Python、SQL、Java等编程语言，以及Scikit-learn、Pytorch、TensorFlow等建模框架，用于大型项目。具有常见数据存储和处理工具（例如Spark、Pandas、Delta Lake）的经验，包括深入解决在大型网络中运行大规模软件的问题。出色的口头和书面沟通能力，能够向非技术和技术利益相关者传达丰富的数据洞察。作为负责人，在数据科学大规模研究和应用方面拥有成功的过往项目记录。具有用户留存建模、LLMs、时间序列预测或运筹学经验者优先。凭借具有竞争力的薪资和丰厚的福利待遇，NVIDIA被广泛认为是技术行业最令人向往的雇主之一。我们拥有世界上一些最具前瞻性和多才多艺的人才与我们合作，我们的工程

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准