Tuesday, June 1, 2021

Grammarly | Technology | My 20 minutes study

Here is the link.  

Data science | extensions | growth | identity | Machine learning | Mobile | NLP | Platform | Core | Product

Data Science

Grammarly’s products generate more than 350,000 suggestions every minute for our 30 million daily users. This creates the opportunity to perform data analysis spanning tens (soon to be hundreds) of terabytes of data at a time. To work at this scale, our Data Science team is anything but conventional, building tailored solutions that are flexible, versatile, and usable.

Stack includes
Spark, Scala, Zeppelin, SQL, Python
A few things we’re working on
  • Helping business partners find bigger opportunities through data
  • Performing deep-dive analyses to understand user behavior
  • Acting as technical advisors to product and marketing teams
Extensions
Extensions

The task of the Browser Extensions team is not to build a traditional web app but to create a seamless, thoughtful way for users to directly access Grammarly’s sophisticated AI system at any time, on any site. In a domain without established best practices, the challenge is to pioneer innovative and maintainable solutions that enhance the core experience of the web.

Stack includes
React, TypeScript, Stylus, Redux, RxJS, Focal (our own in-house, open-source state management framework), Webpack
Learn more about what we’re working on:


Growth

Engineers on this team work very closely with product and marketing managers, data scientists, and designers to drive business growth through experimentation and major strategic projects. The team is central to the advancement of a product already used by 30 million people every day around the world.

Stack includes
React, TypeScript, Mobx, Scala, AWS offerings
A few things we’re working on
  • Communicating the value of our free and Premium product to all users
  • Improving key product metrics across our product suite
  • Developing infrastructure for high-tempo experimentation

Stack includes
React, TypeScript, Mobx, Scala, AWS offerings
A few things we’re working on
  • Communicating the value of our free and Premium product to all users
  • Improving key product metrics across our product suite
  • Developing infrastructure for high-tempo experimentation

Identity

Security is central to everything Grammarly builds, and our Identity and Authentication team has end-to-end ownership of this vital aspect of our product. The team is responsible for overseeing how millions of Grammarly users sign in through all of our applications and for keeping user accounts secure with mission-critical services like multifactor authentication.

Stack includes
Java, Scala, AWS RDS, Dynamo
A few things we’re working on
  • Building and supporting in-production services with a very high call rate and extreme SLA requirements
  • Strengthening user account security by identifying and mitigating threats
  • Implementing back-end APIs to power user flows and enable account management for all consumer and enterprise products

Machine Learning

Grammarly’s Machine Learning team works on end-to-end intelligence systems that solve complex user problems. In partnership with analytical linguists, computational linguists, and research scientists, the team engages with challenging machine learning and deep learning problems while building the infrastructure and systems that allow them to operate effectively at scale.

Stack includes
Python, PyTorch, scikit-learn, SageMaker, TensorFlow, Marian, Vowpal Wabbit

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