Senior Data Science Engineer at a Fast-Growing Startup
Develop deep skills in big data at Alpine Data Labs, “one of the hottest machine-learning startups”, according to Business Insider, Datamation, and the Wall Street Journal. Alpine has raised almost $30M in funding to build "the next big data startup" (Forbes) and we have tripled our customer base in the last year alone.
Alpine Data Labs
The vision of Alpine Data Labs is to make data science so straightforward that it becomes a tool for business users as well as data scientists. Alpine's data-mining software scales to huge datasets (hundreds of terabytes, or billions of rows) but it is driven through an intuitive graphical interface. We deliver on the promise of Hadoop, Spark and big data by providing a collaborative and intuitive visual environment for teams to quickly create and deploy analytics workflows and predictive models.
We are a well funded, rapidly growing startup backed by major venture firms. Our customers include Barclays, Sony, Kaiser Permanente, and the US Federal Reserve.
Who Are We Looking For?
Alpine is hiring machine-learning engineers to innovate in algorithms for large-scale data mining and to implement those algorithms on platforms such as Spark and Hadoop. You will aim to develop powerful functions that are still easy to use. You will contribute to open-source projects such as MLlib.
In general, Alpine is looking for engineers who are passionate about working with the latest technologies in analytics. And we want engineers who are strongly motivated to help more and more people solve real-world problems with analytics, across industry and in the public sphere. Finally, we look for people who are willing to play a variety of roles, and to do what it takes to help the company and its customers succeed.
What Will You Do?
You will work on the full stack of application development, using agile practices, from concept phase through testing and launch. You will work on hard problems in an open, collaborative environment, refactoring code as you go and writing lots of automated tests.
You can find lots of useful information on our web-site:
Here is what being said about us:
Here is an interview that describes the business motivation behind what we do: