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Software Engineer - Applied Science

<h1>About Clipboard</h1>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 <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.ycombinator.com/topcompanies/">Y-Combinator company</a> 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.<h2>The team</h2>Applied Science 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 <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.notion.so/Engineering-35e8643321f4810a9f9fec9d8ec77c4d">page</a>.<h2>What you'd be working on</h2><ul style="min-height:1.5em"><li>Pricing algorithms and auction mechanisms</li><li>Shared marketplace metrics, automated variance detection, and notification systems</li><li>Causal modeling, experimentation frameworks, and analytical investigations</li></ul><h2>What we're looking for</h2>Engineers who do well on Applied Science are interested in marketplace economics and data science as much as they are in software engineering. They're equal parts builder and analyst — they dig into the data to understand what's actually driving a metric, reason through the cause and effect, and then go build and ship the solution. 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.The team owns its systems end-to-end, so you should be comfortable working across the stack.We use a straightforward TypeScript stack: React on the frontend with Ionic on mobile; our backend is Node/NestJS powered by MongoDB and Postgres.<h2>The interview process</h2>When looking at candidates, their actual competencies matter more to us than what’s on your resumes. Because of that we make sure our assessments and interviews mirror real work that’s being done at Clipboard.Here's what the process looks like:<ol style="min-height:1.5em"><li>Take-home PR assessment (~60–90 min) + live follow-up</li><li>Second take-home (technical design or second PR) + live follow-up</li><li>Hiring manager interview</li><li>Final culture screen with our Head of People</li></ol>The process is written and async by design in order to for you to get a feel for how we work in our remote culture.Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members <a target="_blank" rel="noopener" href="https://forms.gle/SyGaxHFbon7Hg9fW6">here</a>.

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