At Quotient, we are building an end-to-end evaluation platform for AI. We believe that model evaluation is essential to shipping successful AI products quickly and confidently. We enable researchers and developers to understand the tradeoffs they are making in training and deploying AI models and products. With Quotient, they can iterate faster towards more ambitious goals.

Quotient will enable AI products to become ubiquitous, reliable, and safe.

Our founders most recently led AI evaluation for GitHub Copilot. We have raised a Seed Round from top VCs and angel investors.

We are looking for experienced engineers who understand AI systems, and are excited about becoming global leaders in a completely novel field. We need people that can work independently as part of a small team.

You will be responsible for building the industry’s first end-to-end AI evaluation platform, starting with an offline evaluation harness and web platform. You’ll also help forge the foundation of our company’s engineering team and company culture.

We are a small team passionate about technology, research, and the extraordinary things we can build when we combine the two. We’re also fun, collaborative, and have meaningful lives outside of work.

You might be a good fit if you’ve worked as a Software Engineer on ML or Data products. We are building a team in Boston, Massachusetts, and preference will be given to candidates who can join us in our office 2 days per week.