$150K - $200K(Ladders Estimates)
Data scientists spend a considerable amount of time exploring data, iterating over machine learning (ML) experiments. Every hour of compute required to sort through datasets, extract features, fit ML algorithms, hinders the ability of data scientists to drive towards results. Big-data platforms, such as Apache Spark, are popular data processing engines in data centers for data science. NVIDIA will work with open source community to accelerate big-data platforms with GPU for data science. NVIDIA believes that data science workflows can benefit tremendously from being accelerated, to enable data scientists to explore many more and larger datasets to drive towards their business goals, faster, and more reliably. Come join NVIDIA to lead an engineering team to design and develop the accelerated big-data platforms powering this revolution.
What you'll be doing:
What we need to see:
Valid Through: 2019-10-15