Machine Learning Engineer at Exabeam
San Mateo, CA, US
Exabeam provides security intelligence and management solutions to help organizations of any size protect their most valuable information. The Exabeam Security Management Platform uniquely combines a data lake for unlimited data collection at a predictable price, machine learning for advanced analytics, and automated incident response into an integrated set of products. The result is the first modern security intelligence solution that delivers where legacy security information and event management (SIEM) vendors have failed.
Position Overview
We are looking to hire a highly creative Data Scientist to create solutions using machine learning methods to improve the operational efficiency, and improve the detection accuracy of the company’s products.  The data scientist will collect large volumes of data from varying sources, clean data, build machine learning models to extract insights, prototype them, and implement the existing data science features.
To succeed in this position, you need to be curious, creative and tech savvy. You need to stay up to date with data programming, have sufficient understanding of mathematics, be able to convert business ideas into data science projects, prototype your ideas, and eventually implement them into the product. Top candidates will be persistent, and have excellent analytical and problem-solving skills.


    • Collecting and interpreting data.
    • Researching solutions to overcome data analytics challenges.
    • Creating machine learning models.
    • Communicating and meeting with product managers, engineers, and other interested parties.
    • Prototype your machine learning model, including building UI.
    • Production implementation.
    • Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.


    • A MS or PhD degree in computer science or related areas.
    • 2+ years industry experience.
    • Proficient in at least two of these skills: Python, JavaScript, R, Scala, Hadoop, Spark.
    • Experience using data visualization tools.
    • Good understanding of statistics, calculus and linear algebra.
    • Outstanding communication skills.
    • Deep learning, Tensor Flow, Google Cloud experience are a plus!

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