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: 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.
You:Have 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.
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.