# Early Career Research Engineer at Parallel Web Systems

- Company: Parallel Web Systems
- What the company does: Web infrastructure for AI to search, extract, monitor, and reason over the world's information. Backed by Index, Khosla and Kleiner Perkins.
- Company website: https://parallel.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto
- Work setup: On-site
- Pay: $150K to $300K base salary per year (USD)
- Posted: 2026-01-24
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/parallel/056e41f8-7d5f-41c1-99fd-bf002dc072fd
- Page: https://www.1752.vc/careers/jobs/parallel-web-systems-early-career-research-engineer/

## About the role

You'll design and train the models that power Parallel's APIs: the intelligence layer that helps AI agents find exactly what they need from the open web. This means tackling research problems that most labs encounter only at hyperscale: How do you train embedding models that capture semantic intent across diverse query types? How do you balance model expressiveness with sub-second retrieval latency? How do you maintain index freshness when the web updates constantly, without rebuilding from scratch?

## What they're looking for

- Bachelor's degree or equivalent combination of education, training, and professional experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
- Years of experience required will correlated with the internal job level requirements for this position

Tags: Engineering