Machine Learning Researcher

Archetype AI • San Mateo, CA

1d • Onsite

About The Position

Archetype AI is seeking an experienced, research-oriented machine learning candidate to help build multimodal foundation models for understanding the physical world. The models combine time-series and sensor data with language, vision, audio, and other real-world signals to understand complex systems, reason over long horizons, and support tasks in industrial and physical environments.

The role involves work across the model-development lifecycle, from problem formulation and experimental design through modeling, evaluation, and deployment. The successful candidate will work independently in ambiguous problem spaces, contribute to research directions with potential for publication, and help advance models from research experiments into production for complex industrial use cases.

Requirements

• Be self-directed and comfortable operating in ambiguous problem spaces.
• Independently perform scientific work, including forming hypotheses, designing experiments, and drawing sound conclusions.
• Have experience with end-to-end modeling, including data, modeling, and evaluation.
• Have experience with productionization or deployment of machine learning models.
• Demonstrate strong technical judgment and experimental rigor.

Nice To Haves

• Multimodal experience is preferred.

Responsibilities

• Build and improve multimodal foundation models that incorporate time-series and sensor data alongside language, vision, audio, and related modalities.
• Drive research and modeling efforts from problem definition through experimentation and evaluation.
• Own modeling work across data, modeling, and evaluation.
• Advance model architectures and training strategies for physical-world understanding and long-context reasoning.
• Scale research experiments and modeling advances into production models for diverse use cases in complex industrial scenarios.
• Contribute to research directions with potential for publication.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed