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Overview

We are an award-winning Cybersecurity firm, where natural curiosity, desire to learn, and interest in technology are highly celebrated. We are searching for skilled machine learning engineers to join our R&D team who are passionate about building high performance machine learning systems.

Responsibilities

  • Processing large data sets and providing quality checks and analysis following established best practices with limited guidance
  • Managing and improving complex computational systems for processing and scoring data
  • Conducting data experiments to verify assumptions and hypotheses
  • Running existing algorithms
  • Performing analytical and technical investigations in support of customer and production related issues; making initial recommendations for resolution
  • Developing and improving tools for investigative and analytics workflows
  • Other duties as assigned

Qualifications

  • U.S. Citizenship Required
  • Master’s degree in a relevant technical discipline (Math, Engineering, Computer Science, Physics, Statistics or similar field), or Bachelor’s degree in such a field with 2-4 years of relevant job experience
  • At least two years of experience with an object oriented programming language such as Python, Java, or C++
  • Experience with data systems such as Hadoop, Hive, and SQL
  • Knowledge of computational complexity and ability to analyze algorithms for space and runtime complexity
  • Experience processing large datasets, especially datasets larger than memory
  • Experience with scripting languages
  • Strong interpersonal and communication skills including the ability to communicate complex technical or statistical concepts to a non-technical audience
  • Curiosity to independently develop and build data analysis platforms
  • Experience with statistical or scientific computing packages
  • Practical experience with machine learning algorithms
  • Knowledge of statistics
  • Experience with neural networks
  • Experience in collaborative projects using software development best practices such as version control and testing

Apply Here!