NVIDIA is looking to build a Data Platform to optimize real-time routing and scheduling at scale, and deliver a best-in-class cloud streaming performance and experience to users across the world.
Requirements
- Strong background knowledge and practical experience in probability, statistics, and AI/ML.
- Strong coding skills, including the ability to write readable, testable, maintainable, and extensible code (primarily Python)
- Experience with common tools for data storage and processing, including drilling into problems of running large-scale software in a big network.
- Strong experience in data cleaning, aggregation, transformation, and extraction.
- Experience with time series analysis is a plus.
- Experience in active ML production pipelines is a plus (MLflow, KubeFlow)
- Familiarity with industry standard components such as Kubeflow, Apache Spark, Databricks, MLflow, Delta Lake, Grafana, Elastic Search, SQL
Responsibilities
- Build and deploy scalable ML/AI models to optimize the demand forecasting, capacity allocation and user specific feature-engineering for the real time cloud gaming service.
- Build improvements to real-time prescriptive scheduling pipelines to maximize capacity utilization and user retention.
- Acquire and apply domain knowledge of the product and software stack to identify and drive the resolution of data inconsistencies and improve model performance.
- Develop re-useable framework deployments for data ingestion, processing and analysis.
- Identify, analyze, and interpret trends or patterns in complex data sets using supervised and unsupervised learning techniques.
- Improve productivity of the org by wrangling petabytes of data to provide actionable insights to business and engineering.
- Work with a variety of stakeholders to understand requirements, design solutions, and guide the team to deliver results.
Other
- BS/MS or equivalent experience with 5+ years of experience or PhD in Data Science, Computer Science, Operations Research, Statistics, or related quantitative fields.
- Good interpersonal and presentation skills in working with multiple partners.
- Ability to work with a variety of stakeholders to understand requirements, design solutions, and guide the team to deliver results.
- Must be able to work in a fast-paced environment and adapt to changing priorities.
- Must be authorized to work in the country of employment
