Multimodal AI Applied Scientist, SIML - ISE

What you'll do

• Design, train, and deploy large-scale multimodal LLMs across the entire model lifecycle.
• Architect multimodal scene understanding technology using visual and audio data.
• Implement and demonstrate novel, human-centric user experiences using large foundation models.
• Develop ML models and APIs for integration into production pipelines and training infrastructure.
• Model user behaviors and preferences through device and environmental interactions.
• Design memory systems for long-term adaptation and reasoning across diverse temporal horizons.
• Learn semantically rich representations for open-ended downstream applications.

What we're looking for

• PhD or MS in Computer Science, Engineering, or a related field with a focus on machine learning.
• Strong research skills with first-author publications in top-tier ML conferences.
• Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning.
• Experience with multimodal large language models (LLMs).
• Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles.
• PhD in Machine Learning (preferred).
• Proven track record of deploying innovative ML technologies in production (preferred).
• Familiarity with developing ML for resource-constrained devices (preferred).