Software Engineer - Applied Science
About The Position
Our mission is to uplift as many communities as possible. 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. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company and have been profitable since 2022. 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. The Applied Science team builds the quantitative systems that power Clipboard’s marketplace. 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 also partner with product teams to build out quantitative approaches to new problems as they come up. You can find more information on the team and areas of work from this page. 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
Requirements
- Interest in marketplace economics and data science as much as software engineering.
- Ability to dig into data to understand metric drivers.
- Reason through cause and effect.
- Comfortable working across the stack.
- Experience with TypeScript stack: React on the frontend with Ionic on mobile; Node/NestJS powered by MongoDB and Postgres.
Responsibilities
- Build and ship solutions for marketplace economics and data science problems.
- Partner with platform and data teams to build out ML pipelines and rules engines.
- Work through tough architectural problems.
- Own systems end-to-end across the stack.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
