Grammarly team members in this role must be based in the United States or Canada, 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.
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.
Until now, our product has provided a largely uniform, identical experience to all its users. As we strive to define and advance the communication-assistant market, it’s become essential for our product to deliver a context-aware and personalized experience to every user. This requires understanding users’ intent, style, and communication preferences. Similarly, the Text Editor software development kit, Grammarly’s first developer offering, will provide contextually personalized experiences tailored to the app's communication use case and further empower our partners.
We are looking for a Machine Learning Engineer specializing in recommendation, relevance, or personalization to build these capabilities. This person will apply ML to solve new and challenging problems, as well as build the infrastructure and systems to operate solutions effectively at scale. This will involve working on a highly cross-functional team, in close partnership with Analytical Linguists, Computational Linguists, Data Scientists, and more.
Grammarly’s engineers, researchers, and ML practitioners have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. They will have the chance to broaden and deepen their skills in machine learning and deep learning. Read more about our stack or hear from our team on our technical blog.
As a Machine Learning Engineer specializing in personalization, you will have a significant customer-facing impact, including defining the personalized customer experience and working closely with Grammarly for Developers partners. Personalization is a top strategic goal for Grammarly. Most of the problems we’re tackling haven’t been solved before, which provides the opportunity for creative and innovative problem-solving.
In this role, you will:
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
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 and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
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