Would you like to be part of a company where machine learning is at the core of its product offerings? Do you want to build (not analyze, support or A/B test) machine learning-based product features from scratch? Are you interested in applying machine learning to a dataset that no other company in the world has? Can you innovate in a greenfield machine learning application environment that has rarely been researched in academia? Then come and join a collaborative team that builds solutions that provide deep performance insights, behavioral security analyses, and drives business analytics. 

Are you looking to make an impact? Do you love seeing your work implemented and hearing how your contributions have made a difference? ExtraHop offers an exciting, high-energy, and versatile environment in which people are encouraged and supported to collaborate on industry-leading technology while they develop and enrich their individual growth. And we're doing it with creativity, intellectual curiosity, and a sense of humor (it's required here, seriously).

The Extrahop platform is a novel approach to processing vast amounts of wire data in real-time. It provides unparalleled visibility into every transaction and behavior for every single entity within an enterprise network. This complete visibility allows our customers to proactively detect and remediate IT performance issues and cyber attacks in real-time. As part of the data science team, you will be responsible for end-to-end delivery and operation of all machine learning capabilities across ExtraHop products.

The Role

• Innovate and build new attack detection and analytic capabilities using machine learning on the ExtraHop platform
• Collaborate with software engineers and own the end-to-end development of machine learning features and capabilities (from ideation to productionization)
• Identify and engineer new features with our networking subject matter experts
• Inspire and educate our user interaction designers to incorporate model results and analysis into user workflows
• Learn from threat researchers and become an expert in network attack scenarios and encode domain expertise into algorithms and models

Typical successful candidates have;

• Bachelor’s, Master’s or Ph.D. degree or equivalent experience in computer science, engineering, mathematics/statistics, or other quantitative fields
• Five or more years of professional experience and/or equivalent combination of education and experience
• Proficient at programming in Python or other high-level languages
• Knowledge of basic computer science data structures and algorithms
• A deep understanding of the theory behind machine learning models such as generalized linear models, classification, clustering, ensemble learning, time series analysis, graphical analysis, neural networks, etc. 
• Willingness to learn complex topics in cyberattacks and network monitoring

You make the bonus round if you have:

• Experience in applying machine learning or statistical modeling to solve real-world problems
• Experience in building end-to-end machine learning systems
• An understanding of network protocols including IP, TCP, UDP, DNS, and HTTP
• Knowledge of building scalable and high-performance systems
• An understanding of various product-development life cycles

ABOUT EXTRAHOP

ExtraHop is an enterprise cyber analytics and performance monitoring company helping the world’s leading organizations understand and secure their entire environment from the core to the edge to the cloud. Our breakthrough approach to analytics and machine learning helps our customers investigate threats, ensure the delivery of critical applications, and secure their investment in the cloud, resulting in 95% faster threat detection and reducing unplanned downtime by 86% while providing the best possible customer experience.

ExtraHop is recognized by leading organizations for both its innovation in the market and its commitment to building a world-class team. We’ve been named to Wealthfront’s Career-Launching Companies list for the last four years, and JMP Securities put ExtraHop on its 2019 Elite 80 List as one of the most strategically positioned private companies in the cybersecurity industry. Credit Suisse recognized ExtraHop as a member of its inaugural Disruptive Technology Recognition Program, and SC Media named ExtraHop a 2019 Industry Innovator for enterprise network traffic analysis.

With well over $150 million in bookings in 2019 and 40% year-over-year growth for the last two consecutive years, the opportunity with ExtraHop has never been greater. Are you ready to rise above the noise?   #LI-BKW