Staff Engineer, Hivemind Reasoning (R6292)
Core
Design, implement, train, and evaluate reasoning and cognition models for unmanned autonomous platforms, focusing on foundation models, VLMs, and VLAs.
Role type
Staff IC machine-learning engineer (autonomous systems)
Builds
Reasoning and cognition models for unmanned autonomous platforms
Domain
Defense technology + autonomous systems
Deliverable
production ML models
Required skills
foundation models, deep learning, self-supervised learning, supervised fine-tuning, imitation learning, reinforcement learning, distillation, PyTorch, JAX, TensorFlow, multimodal models, embodied AI, robotics algorithms, edge compute
Preferred skills
model optimization for resource-constrained hardware, simulation-to-real transfer, unmanned autonomous systems in defense, large distributed systems, high-fidelity simulation
