Multimodal AI Applied Scientist, SIML - ISE

What you'll do

• Design, train, and deploy large-scale multimodal LLMs across the model lifecycle.
• Build and demonstrate user experiences using foundation models, and create production-ready ML models and APIs.
• Collaborate with partner teams to develop and iterate on solutions for production pipelines and training infrastructure.

What they ask for

• PhD or MS in Computer Science, Engineering, or a related field focused on machine learning.
• Strong research skills with first-author publications in top-tier ML conferences.
• Expert-level knowledge of state-of-the-art large autoregressive transformer models, multimodal encoders, and representation learning.
• Experience with multimodal LLMs and strong Python programming skills grounded in software engineering principles.

Nice to have

• PhD in Machine Learning.
• Experience deploying innovative ML technologies in production, developing ML for resource-constrained devices, or working with large cross-functional teams.

Pay

$184,700 to $324,800 USD base salary

Tools

Python

AI focus

Develop multimodal LLMs for scene understanding and human-centric interaction, including modeling behaviors and preferences, retrieving insights from historical context, reasoning over streaming data and temporal horizons, and designing memory systems for long-term adaptation.