Grammarly’s AI-powered writing assistant helps 30 million people and 30,000 teams write more clearly and effectively every day. In building a product that scales across multiple platforms and devices, Grammarly works to empower users whenever and wherever they communicate. Our Machine Learning and Natural Language Processing team is a rare find for engineers. It tackles NLP challenges at internet scale—conducting in-house research that is integrated into the Grammarly product. The team is small enough for engineers to own major projects and feature developments and get their hands on solving cutting-edge problems. If you’re passionate about joining a smart, values-driven team working on a user-centric product that creates meaningful value for millions of people, we’d love to meet you.
Team member Q&A.
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Useful links
- Visit our "About Us" page to learn more about who we are and what we do.
- Check out our Engineering Blog for details on how Grammarly’s Natural Language Processing team is building the future of communication.
- Read about culture and life at Grammarly and see our employee reviews on Glassdoor, Comparably, and Blind.
- Our latest $200M+ funding round announcement details our company's accomplishments to date, and looks ahead to upcoming partnerships and features.
Team size & roles
- 7 Machine Learning Engineers
- 3 Back-End/Software Engineers
- 3 Computational Linguists
- 2 Applied Research Scientists
Meet the team →
Collaboration Practices
- Daily standups
- Weekly scrum review planning
- Weekly technical shallow dive
- Semiannual performance reviews
- NLP Guild and Research Guild meetings
Hours & location
- Work in US time zones
- Mixed on-site and remote
Tools we use
- Java
- Python
- AWS
- PyTorch
- TensorFlow
- BERT
- Kotlin
- C++
- HuggingFace
- GitLab
- Grafana
- OpsGenie
- Zeppelin
- Jupyter
- Clojure
Company-level stats
- VC-backed
- B2C
- B2B
- Funding: $51–250M