Sensor AI Researcher for Multimodal Foundation Models

Archetype AI Inc.; San Mateo (CA); On-site; USD 200,000 - 280,000; Full time

Job summary

Archetype AI is building the next generation of foundation models for real-world sensor data in California. We seek an AI Researcher to design, train, and interpret large-scale models that learn from raw sensor streams and reason about the physical world.

You will work on representation learning, multimodal learning, and large-scale model training, collaborating with engineers and product teams to bring research into production and contribute to the field through conferences and blogs.

Qualifications

• 8+ years of experience developing advanced ML/AI systems, with a focus on real-world sensor data.
• Strong expertise in modern deep learning architectures, especially transformers, representation learning, and large-scale model training.
• Strong research and experimentation skills, including designing and evaluating new approaches.
• Excellent programming skills in Python, with deep learning frameworks such as PyTorch.
• Ability to move quickly from idea → experiment → working prototype.
• Comfortable working in a fast-paced, multidisciplinary environment with a distributed team.
• Excellent written and verbal communication skills.

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.

Skills

ML/AI systems

Transformers

Representation learning

Python

PyTorch

Tools

Python

PyTorch

Job description

Archetype AI is building the next generation of foundation models for real-world sensor data in California. We seek an AI Researcher to design, train, and interpret large-scale models that learn from raw sensor streams and reason about the physical world.

You will work on representation learning, multimodal learning, and large-scale model training, collaborating with engineers and product teams to bring research into production and contribute to the field through conferences and blogs.