Über
Develop and deploy prescriptive analytics solutions for efficient cloud capacity allocation.
Identify, analyze, and interpret trends or patterns in sophisticated data sets using supervised and unsupervised learning techniques including user behavior like retention and churn.
Build scalable algorithms for toolchains based on data processing and machine learning to root cause production issues.
Improve efficiency of the org by wrangling petabytes of data using groundbreaking machine learning tools to provide actionable business and engineering insights.
What we need to see: Pursuing MS or PhD in Data Science, Computer science, Operations Research, Statistics or related quantitative fields.
Validated background knowledge in Statistical Analysis.
Experienced in building Machine Learning and Deep Learning models using techniques like clustering, classification, outlier analysis, hyperparameter tuning, feature engineering.
Strong coding skills, including the ability to write readable, testable, maintainable and extensible code (primarily Python/SQL including libraries like Pandas).
Good interpersonal, presentation and reporting skills are important.
Ways to stand out from the crowd: Experience in active ML production pipelines (MlFlow, KubeFlow).
Background with common tools for data storage and processing (e.g. Spark, Hadoop Map/Reduce, Hive, Cassandra).
Experience building prescriptive models using methods like constraint optimization (CP-SAT, Gurobi).
Experience working on an Agile or iterative development team.
Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits () . Applications for this job will be accepted at least until February 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Sprachkenntnisse
- English
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