Software Engineer
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
Autonomy software for off-highway industrial vehicles
Polymath Robotics develops modular autonomy and safety software for off-highway vehicles like tractors and mining trucks. It enables OEMs, fleet operators, and defense organizations to automate vehicles in controlled environments via plug-and-play navigation, path planning, and obstacle avoidance. The platform accelerates development by handling core robotics challenges including sensor fusion and safety layers.
Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.
Builds infrastructure and simulation engines for training autonomous AI agents in complex environments using reinforcement learning. Requires strong engineering skills in distributed systems, containerization, networking, and data systems.
AI Research Resident collaborates on research projects developing benchmarks and environments for long-horizon AI agents, identifying model failure modes, and training autonomous agents. Requires current MS/PhD enrollment, RL experience, systems engineering, and strong publications.
Conducts applied research on long-horizon autonomous AI agents, focusing on evaluation, post-training, environment design, and benchmarks to improve frontier models. Builds simulations, runs experiments, ships production code, and publishes findings.