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Parallel Web Systems

APIs for AI-driven web research

Early Career Research Engineer

AI ResearchUpdated on Nov 4
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent combination of education, training, and professional experience is required.
  • A field relevant to the role must be demonstrated through coursework, training, or professional experience.
  • The years of experience required will correlate with the internal job-level requirements for this position.
  • Experience with information retrieval systems, embedding models, or neural ranking at scale, or strong interest in fundamental problems in training models to understand and serve billions of web documents.
  • Ability to work between theory and production, developing efficient solutions for real infrastructure.
  • Comfort reading research papers from SIGIR and RecSys and debugging distributed training pipelines.

Responsibilities

  • Design and train the models that power the company's APIs, enabling AI agents to find relevant information from the open web.
  • Develop embedding models that capture semantic intent across diverse query types.
  • Balance model expressiveness with sub-second retrieval latency.
  • Maintain index freshness as the web updates, without rebuilding from scratch.
  • Build information-retrieval solutions for AI agents issuing complex, multi-hop queries and expecting structured, programmatic responses, combining classical information-retrieval techniques with modern deep learning at scale.

About the Company

Parallel Web Systems

APIs for AI-driven web research

Parallel Web Systems builds infrastructure and tools that let artificial intelligence use the web effectively. Its core products are APIs, including a Deep Research API and a Search API, that give AI agents fast and accurate access to web data. The systems re-engineer every layer of data flow—from crawling and indexing to ranking—so machines can consume information efficiently rather than humans. Developers and enterprises embed these APIs into their applications to enable real-time research, workflow automation, coding assistance, and market intelligence. The company differentiates itself by focusing on AI-native web access and machine-to-machine research, creating a programmatic web where AI agents can autonomously query, analyze, and synthesize information. Its goal is to establish a standard way for AI to interact with the web, powering automated research and data-driven workflows at scale.

Company size
51-200
Company stage
Series B
Total funding
$230M
Headquarters
Palo Alto, CA
Founded
2023

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