Software Engineer, Backend

About Matter

Building the future of reading

Tech

## **Some tech you'll help build** - Article and PDF parsers that use a combination of techniques (eg. NLP, computer vision) to achieve best-in-class performance - Data ingestion pipelines that consolidate content from disparate sources, including RSS, save-extensions, newsletters, and Twitter - Scrapers that find and ingest articles by specific writers wherever they occur on the internet - Audio-to-text transcribers that map audio files to editable transcripts (similar to [Descript](https://www.descript.com/)) - Subscriptions layer that lets users frictionlessly manage their paid subscriptions to 3rd party publishers - Integrations with Readwise, Roam, Notion, and other services - A powerful and simple API - Models that profile the "DNA" of articles (eg. quality and complexity of writing, topics, political valence, and so on) - Content recommendation systems that take into account behavioral data, social signals, and other factors ## **Our Stack** - Django, Postgres, Redis, Celery in the backend - Swift iOS app with Realm for local datastore - React for internal tooling - Comfortable dev environment using Git, Docker, automated tests, and continuous deployment - Run entirely on AWS - GitHub, Slack, Notion, Figma, Linear

The role

**You might be a fit if you:** - Are an experienced generalist who writes high-quality code. - Can own large pieces of work and solve whatever problems come your way. - Have designed APIs and built backend services for complex, consumer-grade products. - Are comfortable with Python/Django/SQL/AWS. Languages can be learned, but because we're small and will be counting on you to make big contributions quickly, familiarity with our stack is helpful. ML experience a plus. - Operate well in an early-stage environment where there's more change and less structure compared to a more mature company. - Are highly collaborative and an excellent communicator. **Some tech you'll help build:** - Article and PDF parsers that use a combination of techniques from heuristic frameworks to NLP to computer vision - Data ingestion pipelines that consolidate content from disparate sources, including RSS, save-extensions, newsletters, and Twitter - Scrapers that ingest content produced by specific individuals wherever it occurs on the internet - Data synchronization engine that powers offline interactivity across multiple clients **Our Stack** - Django, Postgres, Redis, Celery in the backend - Swift iOS app with Realm for local datastore - React for internal tooling - Runs entirely on AWS - Comfortable dev environment using Git, Docker, automated tests, and continuous deployment - GitHub, Slack, Notion, Figma, Linear

Skills

• PostgreSQL
• Python