Swarm Engineer - Multi-Agent Task Planning

Swarmbotics AI is seeking a Machine Learning Engineer to design, develop, and deploy a multi-modal action model that enables each UGV to select and execute coordinated swarm macro-actions in real time.

Requirements

• Strong mathematical foundation in neural networks, transformers, reinforcement learning, and statistics
• Proficiency in Python and C++
• Experience with PyTorch or TensorFlow
• Experience training and deploying models that produce actions or macro-actions
• Familiarity with multi-agent coordination concepts
• Experience optimizing and deploying ML models on resource-constrained or edge hardware

Benefits

• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance