Machine Learning Engineer

Verus Research is searching for a Machine Learning Engineer to perform research & development, conception, and implementation of advanced control theory principals for autonomous system development.

The primary role for the Machine Learning Engineer will be to develop and implement machine learning algorithms with a focus on reinforcement learning techniques and robotics applications. Of particular interest will be developing algorithms to satisfy given specifications with a high focus on safety assurance.

Responsibilities:

  • Design and implement data-driven control algorithms and dynamics models
  • Research novel techniques for incorporating autonomy and intelligence into systems that are safe and trustworthy
  • Develop simulation environments for data generation and system testing
  • Implement developed algorithms on hardware testbeds
  • Prepare technical reports and present results to colleagues and customers
  • Help with proposal writing and developing new opportunities in the field of autonomy

The ideal candidate will possess the following:

  • U.S. citizen
  • Holding or being able to obtain a Department of Defense security clearance
  • Advanced degree in electrical engineering, controls systems engineering, aerospace engineering, computer science, or related fields
  • Experience with MATLAB, SIMULINK, C++, Python or other similar programming languages
  • Experience developing simulation environments in Unity
  • Robotic control systems experience, including ability to build robotic hardware demonstrations of learned algorithms
  • Demonstrated record of scientific publications in peer reviewed journals or conference proceedings
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