Jobs · Engineering · California

Principal Data Scientist - Cloud Gaming and AI

NVIDIA AI · Santa Clara, CA · 3 wk ago
EngineeringFull-time

About the role

NVIDIA's GeForce NOW service is built on top of our GPU technology, including our proprietary GPU architectures and software optimizations. Our team builds diagnostic, prescriptive, and AI-augmented analytics solutions for millions of end-users.

Responsibilities

  • 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.

Requirements

  • 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

Qualifications

  • 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

Skills

  • Data Science
  • Statistics
  • Machine Learning
  • Artificial Intelligence
  • Operations Research
  • Programming Languages (Python, SQL, Java)
  • Modeling Frameworks (Scikit-learn, Pytorch, TensorFlow)
  • Data Storage and Processing Tools (Spark, Pandas, Delta Lake)
  • Communication Skills
  • User Retention Modeling
  • Time Series Forecasting
  • Operations Research

Benefits

  • Competitive salaries
  • Generous benefits package

Pay

Base salary range: $248,000 - $379,500 USD

Schedule

Full time

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