Foundational Multimodal AI Research Scientist

lumalabs-ai; San Francisco (CA); On-site; USD 250,000 - 450,000; Full time

Job summary

lumalabs-ai is seeking a senior researcher to shape the future of multimodal AI, bridging research with shipped products like Dream Machine and Ray3. You will work at the intersection of modeling, data, systems, and evaluation to advance state-of-the-art in multimodal intelligence.

Responsibilities include designing scalable architectures, evaluating alignment, and building research infrastructure for fast experiments on large-scale GPU clusters.

Qualifications

• Degree in CS/ML/Physics/Math (any of these) is essential.
• First-principles intuition for scaling and architecture behavior at scale.
• Fluency in frontier AI language, research and engineering as a unified discipline.
• Ability to design and analyze experiments and communicate complex concepts.

Responsibilities

• Drive core research that powers all products, co-designing multimodal representations and scaling laws.
• Develop proxy tasks and automated metrics to align training with user experience beyond benchmarks.
• Build production-research parity and infrastructure to accelerate rapid experimentation.

Skills

First-principles mindset

Experiment design & analysis

Multimodal AI knowledge

Distributed computing

GPU cluster management

Education

Bachelor's/Master's/PhD in CS/ML/Physics/Math

Tools

GPU clusters

Job description

lumalabs-ai is seeking a senior researcher to shape the future of multimodal AI, bridging research with shipped products like Dream Machine and Ray3. You will work at the intersection of modeling, data, systems, and evaluation to advance state-of-the-art in multimodal intelligence.

Responsibilities include designing scalable architectures, evaluating alignment, and building research infrastructure for fast experiments on large-scale GPU clusters.