Position Summary

We’re seeking members for a new team that will own the data program for our foundation models. In this role you’ll work in a hybrid research-engineering group that (among other things) brainstorms unusual data-sources, builds out infrastructure, and runs experiments to discover new ways of using and processing training data.

The ideal candidate is someone who has a strong understanding of computer systems, a good intuition for the scientific method, and comfort with operating under uncertainty. Given the central importance of data to modern machine learning techniques, this role is critical to the company.

Responsibilities:

• Brainstorm unusual data sources and figure out how to get them, whether by licensing or otherwise
• Build, operate, and maintain large-scale infrastructure to find and process data
• Design and run experiments to improve our understanding of which data is better to train on, which ways of processing it yield the best performance, etc!
• Collaborate with the Foundations Team to understand training needs and regularly ship new data releases

Qualifications:

• Strong programming skills and a good understanding of computer systems more generally
• Excellent communication and collaboration skills, both verbal and written
• Ideally, experience building and managing large scale data pipelines and running machine learning experiments - but we understand that these skills are somewhat rare and are willing to relax these constraints for the right candidate

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.