EpiSci is at the forefront of tactical mission autonomy, developing cutting-edge AI and autonomy solutions for both defense and commercial applications. As an RL/ML Software Engineer on the Cognitive Sensing and Radio Frequency team, you'll be instrumental in advancing state-of-the-art estimation and adaptive control algorithms.
The role demands expertise in reinforcement learning, machine learning, and software development, particularly in C++ and Python. You'll be working on revolutionary projects including AI implementation in military aircraft like F-22 and F-16, developing autonomous UAV swarms, and enhancing tactical communication systems through sensor fusion.
Your responsibilities will span from developing novel model-based reinforcement learning algorithms for multi-agent systems to creating and implementing simulated models for tactical military missions. You'll be hands-on with UAV operations and will need to bridge the gap between theoretical algorithms and practical field implementations.
The ideal candidate should have an advanced degree (Master's or PhD) in machine learning/reinforcement learning with a focus on autonomy and robotics applications. Strong programming skills, experience with containerized development environments, and a track record of taking autonomy capabilities from concept to deployment are essential.
This is an exceptional opportunity for someone passionate about pushing the boundaries of AI in defense applications, working with cutting-edge technology, and making a significant impact on national security solutions. The role offers competitive compensation ($150,000-$180,000) and comprehensive benefits, including health insurance and 401k with employer match.
As a U.S. citizen working in this role, you'll be part of a dynamic team that values innovation and technical excellence, with opportunities to work on challenging projects that have real-world impact in defense and commercial sectors.