Principal Research Scientist – Scaling
Core
Lead a multidisciplinary research team to advance the state of the art in large-scale machine learning, focusing on post-training, RL, and inference efficiency for LLMs.
Role type
Principal Research Scientist (Scaling & Efficiency)
Builds
Databricks AI platform capabilities for training, serving, and adapting LLMs at scale
Domain
Generative AI, Large Language Models (LLMs), Distributed ML Systems
Deliverable
production ML models
Required skills
Foundation model efficiency, LLMs, distributed ML systems, model optimization, responsible AI, Python, PyTorch
Preferred skills
Systems and ML intersection, distributed training frameworks, compiler/kernel optimization, top-tier conference publications
Technologies
Python, PyTorch
Responsibilities
Lead independent research programs on foundation model efficiency; oversee design and execution of large-scale experiments; work hands-on with team on efficient code; collaborate with distributed systems teams to push limits of training/inference; establish metrics and best practices for scaling research; champion responsible deployment of innovations; mentor and develop talent.
Seniority
Principal, hands-on IC with team leadership