Agentic AI/ML Engineer, Multimodal

About this role

FieldAI seeks an AI/ML engineer to develop multimodal foundation models powering a global fleet of autonomous robots. You'll work across computer vision, vision-language models, and agentic AI systems, taking models from research through production deployment in real-world field conditions.

What you'll do

• Design and develop multimodal foundation models for scene understanding and video analysis
• Curate datasets and fine-tune models for real-world robot deployment
• Implement agentic AI features including tool use, memory systems, and retrieval-augmented generation
• Optimize model inference for production environments
• Evaluate model performance and iterate based on field deployment feedback
• Contribute to broader perception and insight initiatives across the company

What they're looking for

• Computer vision and image processing
• Vision-language models (VLMs)
• Multimodal machine learning
• Agentic AI and tool-use systems
• Model fine-tuning and evaluation
• ML inference optimization
• Video understanding and long-context analysis
• Full-cycle ML development and deployment