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.
We want to talk to you if you are someone who can bring us closer to living our aspirational values:
Own 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.
Job: Our first dedicated research hire - you will answer the question: how to train and scale a model that can serve a web index?
You:Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.
Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.