Software Engineer - Applied Science

Remote

Requirements

The team owns pricing algorithms, auction mechanisms, ML infrastructure, and the core metrics — take rate, margins, and the drivers behind them — that the rest of the org depends on.
They partner with platform and data teams to build out our ML pipelines and rules engines, and they're comfortable working through tough architectural problems when the work demands it.
We use a straightforward TypeScript stack: React on the frontend with Ionic on mobile; our backend is Node/NestJS powered by MongoDB and Postgres.

We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers.
This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.

Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022.
You can find more information on the team and areas of work from this page https://www.notion.so/Engineering-35e8643321f4810a9f9fec9d8ec77c4d.
Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

ABOUT CLIPBOARD Our mission is to uplift as many communities as possible.
They also partner with product teams to build out quantitative approaches to new problems as they come up.
WHAT YOU'D BE WORKING ON - Pricing algorithms and auction mechanisms - Shared marketplace metrics, automated variance detection, and notification systems - Causal modeling, experimentation frameworks, and analytical investigations WHAT WE'RE LOOKING FOR Engineers who do well on Applied Science are interested in marketplace economics and data science as much as they are in software engineering.