Helix AI Engineer, Agentic Systems

Responsibilities

• Design, train, and deploy multimodal agents that operate autonomously for extended periods
• Build agents that reason from raw sensory inputs, such as pixels and proprioception, to structured actions
• Implement episodic memory systems for persistent state, retrieval, and long-horizon reasoning
• Develop planning, reasoning, and tool-use mechanisms for multi-step task execution
• Design evaluation harnesses, benchmarks, and metrics to measure agent reasoning and reliability
• Apply reinforcement learning, reward modeling, and post-training techniques to improve real-world performance
• Build infrastructure for scalable model training, distributed experimentation, and agent evaluation
• Work closely with cross-functional teams to integrate agent models into the full humanoid autonomy stack

Requirements

• Experience building autonomous agents that run continuously and complete multi-step tasks
• Experience developing agents that reason from pixel inputs or raw environment observations
• Experience implementing agent memory, planning, reasoning, or tool-use systems
• Experience training or fine-tuning multimodal or foundation models
• Strong proficiency in Python and modern deep learning frameworks like PyTorch
• Strong software engineering skills and the ability to build reliable, maintainable systems
• Strong experimental rigor and the ability to design, analyze, and iterate on ML systems

Preferred Qualifications

• Experience with embodied AI, robotics learning, or robot policy training
• Experience building multimodal foundation models (vision-language or vision-language-action)
• Background in agentic AI systems or long-horizon planning architectures
• Experience working with large-scale distributed training systems
• Publication record in machine learning, robotics, or embodied AI

About the Company

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to create embodied AI systems that can perceive the world through pixels, reason over memory, and reliably execute complex tasks in real environments. We are headquartered in San Jose, CA.