Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.
All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.
Grammarly team members in this role must be based in Germany or Poland, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.
To help us reach that goal, we’re looking for an Applied Researcher with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our NLP team. The majority of the problems Grammarly’s NLP team is tackling haven’t already been solved elsewhere, which provides the opportunity for creativity and innovative problem-solving. This individual will work with other researchers, engineers, and linguists to create the next generation of writing and communication assistance tools.
Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.
Your impact
As an Applied Researcher, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. You will need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems.
In this role, you will:
- Develop state-of-the-art tools for correcting, improving, and enhancing written English by using a variety of NLP, ML, and DL technologies.
- Productize and ship these features into Grammarly’s product offerings, which are used by millions of users daily.
- Stay up-to-date with the latest research trends that could improve our product.
- Contribute to the research strategy and technical culture of the company.
- Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant.
- Be an active member of the AI community by attending and speaking at events in Europe and abroad and by contributing to technical blogs and journals.
We’re looking for someone who
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
- Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
- Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
- Knows theoretical underpinnings of ML/DL.
- Has at least four years of industry experience researching and developing ML and DL technologies for real-world products.
- Knows how to apply ML/DL algorithms to NLP tasks effectively.
- Is proficient in at least one programming language (preferably Python).
- Shows a research mentality and a math-oriented mindset.
- Has strong written and spoken English.
Support for you, professionally and personally
- Professional growth: We hire people we trust and give team members autonomy to do their best work. We also support professional development with trainin