Early Career Research Engineer
Listed on 2026-02-16
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IT/Tech
Systems Engineer, Data Engineer
About Parallel Web Systems
At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data.
We are a fully in-person team based in both San Francisco and Palo Alto, CA. Our organization is flat; our team is small and talent dense.
Aspirational ValuesOwn customer impact - It’s on us to ensure real-world outcomes for our customers.
Obsess over craft - Perfect every detail because quality compounds.
Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.
Create win-wins - Creatively turn trade-offs into upside.
Make high-conviction bets - Try and fail. But succeed an unfair amount.
Research engineer. You will enhance our core research product to train and scale models that serve a web-scale index. This includes shaping model architecture and training strategy, and working closely with systems and product to push research into production.
QualificationsHave deep intuition for modern models and training. You like arguing how search, recommendations, and transformer-based systems converge. You care about research that ships and runs in production at real scale. You have a strong academic foundation, demonstrated through excellence in a demanding program.
Founder & InvestorsOur founder is Parag Agrawal. Previously, he was the CEO and CTO investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.
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