Clipboard Logo

Clipboard

Software Engineer - Applied Science

Posted 3 Days Ago
Remote
Hiring Remotely in U.S.
180K-400K Annually
Entry level
Remote
Hiring Remotely in U.S.
180K-400K Annually
Entry level
As a Software Engineer in Applied Science, you will build pricing algorithms, auction mechanisms, and develop ML pipelines to support Clipboard's marketplace system while collaborating with multiple teams.
The summary above was generated by AI
About Clipboard

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 team

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 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

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. 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.

The interview process

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:

  1. Take-home PR assessment (~60–90 min) + live follow-up

  2. Second take-home (technical design or second PR) + live follow-up

  3. Hiring manager interview

  4. Final culture screen with our Head of People

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 here.

Similar Jobs

39 Minutes Ago
Remote or Hybrid
New York, NY, USA
210K-287K Annually
Senior level
210K-287K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Product Director will drive product innovation and cross-functional execution at Capital One Shopping, focusing on AI integration and data-driven strategies.
Top Skills: AIAPIsBig DataNative UiPythonRSQL
2 Hours Ago
Remote or Hybrid
USA
195K-290K Annually
Expert/Leader
195K-290K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.
Top Skills: AirflowAWSBigQueryDaskDockerFlinkGCPKafkaKubeflowKubernetesLangchainLlamaindexMlflowMlops ToolsOciPulsarPythonSagemakerSnowflakeSparkVertex Ai
2 Hours Ago
Remote or Hybrid
USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.
Top Skills: AirflowDbtMatillionPythonSalesforceSnowflake

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account