1 open role mentioning Neural Ranking
Parallel Web Systems
Parallel is seeking a researcher who thinks like an engineer, or an engineer who thinks like a researcher, to join our team. You will design and train the models that power Parallel's APIs, focusing on the intelligence layer that helps AI agents find exactly what they need from the open web. This role involves tackling research problems at hyperscale, such as training embedding models that capture semantic intent, balancing model expressiveness with sub-second retrieval latency, and maintaining index freshness. You will be building information retrieval systems reimagined for the LLM era, combining classical IR techniques with modern deep learning at a scale that demands new solutions.
$150k - $300k