Parallel Systems

Research Scientist

San Francisco or Palo Alto

Sponsorship not specifiedDetected 27 days ago

SparkNLPAgentic AIResearch

About the role

Job: As one of our Researchers - 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.

Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
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.
Parallel is a web infrastructure company.
Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs.
We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
You care about your research being applied to product and systems that millions use.
It's on us to ensure real-world outcomes for our customers.
These are our values:

This listing is sourced directly from Parallel Systems's careers page and normalized into a canonical job model.