The opportunity
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge…
What you'll do
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.
What they're looking for
- 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.
- + years of experience building and deploying machine learning or AI systems: for real-world, production use cases.
