Senior Applied Scientist
Core
Design and develop methods to adapt foundation models (language, diffusion, multimodal) for enterprise-specific tasks like document understanding, workflow automation, and content generation.
Role type
Senior Applied Scientist (Foundation Model Adaptation)
Builds
Production AI systems for enterprise deployment
Domain
Enterprise AI, Foundation Models, Research
Deliverable
production ML models
Required skills
Foundation model adaptation, Transformer architectures, Reinforcement learning, Distributed ML training, Privacy-preserving ML, Model evaluation/benchmarking, Agentic model behaviors, Python, PyTorch
Preferred skills
Academic publishing, Conference speaking, Live production system deployment, End-to-end product cycle experience
Technologies
PyTorch, Transformer models, Diffusion models, Multimodal models
Responsibilities
Architect parameter-efficient adaptation techniques, Evaluate approaches under latency/safety/privacy constraints, Mentor interns and early-career members
Seniority
Senior, hands-on IC with research leadership