AI Researcher (Ph.D.)

Archetype AI is building a physical AI platform and foundation models that understand the real world through sensor data. The AI Researcher will design, train, and interpret large-scale models for raw sensor streams, develop representation and multimodal learning methods, diagnose model limitations, and translate research advances into production systems.

Responsibilities:

• Design and train foundation models for sensor data, including multimodal architectures combining non-visual sensing modalities
• Develop new approaches for representation learning, multimodal alignment, and self-supervised learning from raw sensor streams
• Develop methods for adapting pretrained models to new datasets, sensing modalities, environments, and customer use cases, understanding and navigating trade-offs between data availability, model capacity, and performance
• Identify model limitations, diagnose failure modes, and design experiments that drive measurable improvements
• Collaborate closely with engineers and product teams to translate research advances into production systems
• Publish research at top-tier ML and sensing conferences (e.g., NeurIPS, ICML, ICLR) and share findings through talks, technical blogs, and social media to build Archetype’s research presence