Applied Intuition, a leading vehicle intelligence company, is seeking a Senior RL/ML Software Engineer to join their EpiSci team. This role focuses on developing cutting-edge reinforcement learning and machine learning solutions for national security applications. The position combines advanced AI research with practical implementation in autonomous systems.
The role involves working on sophisticated projects including unmanned aerial vehicle control, multi-agent systems, and tactical autonomy solutions. You'll be developing novel model-based reinforcement learning algorithms, implementing state-of-the-art estimation and adaptive control algorithms, and creating simulated models for tactical military missions.
The ideal candidate will have advanced education in machine learning/reinforcement learning, strong programming skills in C++ and Python, and experience with containerized development environments. The position requires hands-on experience with behavior prediction, intent estimation, and taking autonomy capabilities from concept to deployment.
This is an excellent opportunity for someone passionate about applying AI/ML technologies to real-world autonomous systems. The role offers competitive compensation including base salary ($150,000-$180,000), equity, comprehensive benefits, and professional development opportunities. As part of Applied Intuition, you'll be working with a company that serves 18 of the top 20 global automakers and is at the forefront of autonomous vehicle technology.
The position requires U.S. citizenship and involves approximately 10% travel. You'll be working in a collaborative environment with opportunities to contribute to groundbreaking developments in autonomous systems and defense applications. The company maintains a primary in-office culture with some flexibility for occasional remote work.