Machine Learning Engineer, Platform

Join Scale AI as a Machine Learning Engineer to build retrieval and knowledge representation systems for our Generative AI platform, impacting enterprise customers. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

• •Own large areas of platform end to end, driving components from design through to production deployment.
• •Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data.
• •Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking.
• •Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services.
• •Develop context retrieval systems that balance recall, precision, latency, and cost.
• •Build evaluation frameworks, datasets, and metrics to measure retrieval quality, context relevance, and end to end agent performance.
• •Build reliable backend services and data pipelines that support ML and LLM components in production.
• •Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers.
• •Collaborate across product, ML, and infrastructure teams to shape the direction of the platform.