Jobs

Parallel is seeking a Member of Technical Staff for Retrieval & Indexing to build and operate large-scale full-text indexing systems for the web. This role involves working across the entire lifecycle, from corpus selection and searchable structure creation to quality judgment and query serving, ensuring the architecture scales with demand. The ideal candidate possesses deep intuition in information retrieval, distributed systems, and performance tuning, with a keen understanding of trade-offs between classical/neural retrieval, cost, reliability, and latency. You will contribute to infrastructure that helps AI agents find the right information and supports millions of users seamlessly.