Grammarly team members in this role must be based in the United States or Canada.

The opportunity

Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a 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 dominate the communication-assistant market, it’s become essential for our product to deliver a context-driven and personalized experience to every user. This necessitates understanding users’ intent, style, and communication preferences.

We are looking for a Machine Learning Engineer specializing in recommendation, relevance, or personalization to build these capabilities. The person in this role will leverage customers’ implicit and explicit feedback and interactions to help advance the product. They 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 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.

Your impact

As a Machine Learning Engineer specializing in personalization, you will have significant customer-facing impact, which includes defining the personalized customer experience. Personalization is a top strategic goal for Grammarly. Most of the problems we’re tackling haven’t been solved elsewhere, which provides the opportunity for creative and innovative problem-solving. 

In this role, you will:

• Build scalable end-to-end machine learning solutions to challenging customer problems.
• Explore novel techniques to tackle previously unsolved problems.
• Promote excellence and best practices across the Machine Learning team with regards to research, implementation, tooling, and system design.
• Work cross-functionally with various teams to get new features shipped across our many interfaces.
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.

We’re looking for someone who

• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is able to collaborate in person 2–4 weeks per quarter, traveling if necessary to the hub where the team is based.
• Understands traditional machine learning algorithms, state-of-the-art techniques—including deep learning—and how to use them effectively in practice.
• Is familiar with recommendation, relevance, or personalization and its application in industry.
• Has an awareness of modern NLP techniques.
• Is comfortable reading academic papers and can take interesting ideas and apply them.
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.

Support for you, professionally and personally

• Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development 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. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
• Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.
• For Colorado-based employment: The salary range for this position is $113,000–$311,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. 

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, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with applicable law. Grammarly is an equal opportunity employer and a participant in the US Federal E-Verify program.

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