The opportunity 

Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.

To achieve our ambitious goals, we’re looking for a Software Engineer to join our On-Device Machine Learning team. This role will help build a more private and reliable version of Grammarly that is fully offline and can function exclusively on a user’s device—whether it’s a phone, tablet, laptop, or browser. It’s a great way to explore every part of Grammarly’s system and understand all of its components, from the classic NLP pipelines with parsers and text classifiers to the cutting-edge deep learning models that now power the Grammarly system.

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. Read more about our stack or hear from our team on our technical blog.

Your impact

As a Software Engineer on the On-Device team, you will help ensure that Grammarly’s functionality is available offline and can work without internet connectivity. Our team works with many others to ensure that we can run ML on a user’s device and reduce the reliance on an internet connection or a cloud infrastructure. This is a part of the company’s agenda to improve users’ privacy without harming the high level of quality and experience that we provide.

In this role, you will:

• Adapt existing cloud-based models to different user environments (mobile, desktop, etc.).
• Develop and improve existing models that we’ve built within the team (such as autocorrect, swipe, and phrase-completion models).
• Support and improve our cloud infrastructure for on-device models, A/B testing, and distribution.

We’re looking for someone who

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Is a strong coder, with a good understanding of algorithms and data structures.
• Has experience with native development (most of our code is in C++).
• Has experience developing machine learning models.
• Has—as a plus—experience with natural language processing or model distillation.

Support for you, professionally and personally

• Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
• Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing excellent health care (including mental health and fertility benefits) and ample and defined time off. We also offer support to set up a home office, caregiver and pet care stipends, wellness stipends, 401(k) matching (US only), admission discounts, learning and development opportunities, and more.
• For North America–based employment: Grammarly takes a market-based approach to compensation, meaning pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. Base pay may vary considerably depending on job-related knowledge, skills, and experience. Our compensation packages include equity; a wide range of medical, dental, vision, disability, and life insurance options; retirement benefits; and parental leave. We offer twenty days of paid time off per year (global), eleven days of paid holidays per year (US and Canada), and unlimited sick days (global).

United States:

Canada:

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer, a participant in the US Federal E-Verify program (US), and abides by the Employment Equity Act (Canada).

Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia 

Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario 

Please note that EEOC is optional and specific to US-based candidates

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