Applied Research Scientist

Join to apply for the Applied Research Scientist role at Grammarly

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in‑person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the trusted AI assistant for communication and productivity, helping over 40 million people and 50 000 organizations do their best work. Companies like Atlassian, Databricks and Zoom rely on Grammarly to brainstorm, compose and enhance communication that moves work forward. Grammarly works where you work, integrating seamlessly with over 500 000 applications and websites. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML) and deep learning (DL) to join our Agents team. The team builds user‑facing features that work in all Grammarly applications. We help our users write better, faster and more effectively while working in big groups. In this role you will contribute to ideation, define solution space, and build intelligent functionality for our product offerings. You will also help drive the research strategy and technical culture of the company.

Your Impact

As an Applied Research Scientist, you will harness your passion for building exciting new product offerings that will impact millions of lives. You will stay up to date on the quickly evolving field of NLP while focusing on building production systems.

In This Role, You Will

• Develop state‑of‑the‑art tools for correcting, improving and enhancing written English using various NLP, ML and DL technologies.
• Productise and ship these features into Grammarly’s product offerings, which millions of users use 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.

Qualifications

• Strong theoretical foundation in ML/DL algorithms and methodologies.
• Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real‑world products.
• Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred).
• Deep experience in Natural Language Processing (NLP), Generative AI and Large Language Models (LLMs).
• Proven track record of applying ML/DL algorithms effectively to NLP tasks.
• Strong research mentality with a math‑oriented mindset and ability to innovate in cutting‑edge areas.
• Proficiency in at least one modern programming language (preferably Python).
• Demonstrated ability to translate research into scalable, production‑ready solutions.
• Excellent command of spoken and written English; knowledge of additional languages is a plus.

Benefits

• Professional growth through autonomy, trust, training, coaching and regular feedback.
• A connected team with remote‑first hybrid model supporting belonging, employee resource groups, and inclusive values.
• Comprehensive benefits for candidates based in Germany, including competitive pay, health and mental‑health support, paid time off, and wellness stipends.
• Relocation support with visa assistance, destination services and relocation bonus.

Equal Opportunity

At Grammarly, we value our differences and encourage all to apply. Grammarly is an equal‑opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

Data Privacy

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates .

#J-18808-Ljbffr