Machine Learning Engineer (Reinforcement Learning for UAV) at Everstar

EVERSTAR is hiring a Reinforcement Learning Engineer for its R&D team developing battlefield equipment and electronic solutions. The role focuses on building reinforcement learning architectures from simulator to real hardware, developing video- and sensor-based control models, implementing sensor fusion, creating simulation environments with domain randomization, and optimizing models for onboard Raspberry Pi and Nvidia systems. Candidates should have experience with PPO, SAC, or TD3, real-time systems, camera and IMU data fusion, and UAV or drone machine learning; PyTorch Mobile, TensorRT, SNPE, AIMET, TensorFlow Lite, UE, and gamedev experience are advantageous. The position is employment through Diia.City, with a Kyiv office, flexible remote work, health insurance, training support, and competitive compensation.