About Matter

Matter is building the future of reading.

We're a small, productive team that obsesses about craft, speed, and pushing technical boundaries in service of building the best reading experience imaginable.

We've raised $9M while in private beta from GV, Y Combinator, and many stellar angels, and we just launched to public beta.

About the role

Skills: Python, PostgreSQL

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

Technology

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)
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

Matter remote jobs

Software Engineer, Backend