Multimodal AI Applied Scientist, SIML - ISE
Core
Architect, train, and deploy multimodal LLMs for scene understanding and human-centric device interaction.
Role type
Senior IC applied scientist (multimodal AI)
Builds
Multimodal LLMs, APIs, and production-ready ML solutions
Domain
Generative AI, multimodal machine learning, large language models
Deliverable
production ML models
Required skills
Large auto-regressive transformer models, multi-modal encoders, representation learning, multimodal LLMs, Python, software engineering principles
Preferred skills
PhD in Machine Learning, deploying ML in production, resource-constrained device ML, cross-functional team collaboration
Technologies
Python, large foundation models
Responsibilities
Design and deploy large-scale multimodal LLMs; implement novel human-centric user experiences; create scalable ML models and APIs; partner with teams to iterate on innovative solutions
Seniority
Senior, hands-on IC
