Grammarly is excited to offer a remote-first hybrid working model. Team members can work primarily remotely in the United States, Canada, Ukraine, Germany, Poland, or Portugal. Conditions permitting, teams will meet in person a few weeks every quarter at one of Grammarly's hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków.
We believe this balanced, flexible approach gives our team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust, unlocks creativity, and further fuels innovation.
Grammarly team members in this role must be based in the United States or Canada.
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.
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.
Your impact
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:
- Build scalable end-to-end machine learning solutions to tackle customer challenges.
- Promote excellence and best practices across the Machine Learning team with regards to research, implementation, tooling, and system design.
- Collaborate cross-functionally to ship new features across our many interfaces.
- Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
- Explore novel techniques to address previously unsolved problems.
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.
- Understands traditional machine learning algorithms and state-of-the-art techniques, including deep learning and how to use it effectively in practice.
- Is familiar with recommendation, relevance, or personalization and its application in the 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 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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Please note that Grammarly’s COVID-19 vaccination policy requires that all team members in North America be vaccinated against COVID-19 to meet in person for Grammarly business or to work from a North America hub location. It is expected that this will be a requirement for this role. Qualified candidates in North America who cannot be vaccinated for medical reasons or because of a sincerely held religious belief may request a reasonable accommodation to this policy. For Europe, this policy requires team members to be vaccinated or produce a daily negative COVID-19 test administered on-site to work from the hub or attend in-person meetings.
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