Member of Technical Staff - Engineering Lead, Data Acquisition
San Francisco, CA · London · New York, NY
AI · Kubernetes · Python · PyTorch · Figma
OUR MISSION
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.
ABOUT THE ROLE
Reflection's Data team builds the training corpora our frontier models learn from. Before a model can learn anything, the data has to be found, fetched, extracted, and delivered reliably, responsibly, and at enormous scale. The ingestion layer is the machinery that turns the open web, licensed corpora, and other large-scale sources into well-structured, versioned, auditable datasets for pre-training.
As Data Acquisition Lead, you'll provide front-line leadership of the team that builds this layer, spanning all three of its pillars web crawl, data ingestion pipelines, and data lakes. You'll build, mentor, and grow a team of data ingestion engineers, guide the technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and work closely with the pre-training research, data quality, and data partnerships teams that depend on what you ship. You'll stay close enough to the stack to make targeted contributions as an individual contributor and to maintain a deep understanding of the team's technical work. Subtle decisions at the ingestion layer what we crawl, how we extract, what we keep ripple through training and directly affect where our models are strong, safe, and where they fail.
WHAT YOU'LL DO
- Build, mentor, and grow a high-perfor