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Description
Paperpileย helps researchers to find, organize, read, and write academic papers.
Our user base is growing fast, and so is the team around it.
As part of a small team,ย everything you do matters. You only work on stuff that has a direct big impact on the product and our customers.
Work from anywhere on your own schedule. As a remote-first company, we communicate with tools like Slack, Figma, and Notion to move our product forward fast.
Work with an interesting and diverse community of academics. Our customers use Paperpile to study climate change, cancer, or medieval history. You interact with them directly to understand how we can make their work more productive.
Our backend infrastructure stores, processes, and searches hundreds of millions of academic articles. We use Node.js, TypeScript, MongoDB, ElasticSearch, and AWS.
You will take responsibility for substantial parts of our codebase to provide aย fast and reliable backend for all our productsย (web, mobile, desktop). You can also work onย data-heavy projects, including applications of large language models and AI.
Requirements
You can work independently and writeย clean, reusable, and testable code.
You can work and communicate within aย Scrumย team and produce production-ready code efficiently and on time.
You knowย Node.js, TypeScript/JavaScript,ย or have used a different backend stack and want to learn Node.js/TypeScript.
You have worked onย data-heavy applicationsย before and have experience with the required database and backend technologies.
You can design and implementย REST APIs.
More useful experience (optional):
AWS, ElasticSearch, MongoDB, Linux
Basic data science skills (web scraping, data transformations, data cleaning, data normalization, ...)
AI and language models
Background in research or academia
Benefits
Base compensation โฌ40,000-โฌ72,000 based on the level of your experience (plus variable bonus).
4 weeks paid vacation + local holidays.
Learn and grow. Try out new things. We sponsor relevant courses, seminars, and conferences.
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Salary and compensation
$40,000 — $80,000/year
Benefits
๐ Distributed team
๐ Paid time off
๐ Learning budget
๐ฅ Home office budget
โฌ๏ธ No whiteboard interview
๐ No monitoring system
How do you apply?
This job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.