Software Engineer, Machine Learning, On-Device
Canada; Remote
Applications have closed
Grammarly
Grammarly makes AI writing convenient. Work smarter with personalized AI guidance and text generation on any app or website.Grammarly offers a remote-first hybrid working model. Team members can work primarily remotely. Teams will meet in person every quarter in one of Grammarly’s hubs, currently in San Francisco, Vancouver, New York, and Kyiv. To ensure that teams are able to overlap in their working hours and to meet face-to-face when needed, all team members need to live within three time zones of their direct team.
Grammarly team members in this role must be based in Canada or the United States.
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.
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 2–4 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 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, admission discounts, and more.
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 ancestry, race, place of origin, political belief, religion, marital status, family status, physical or mental disability, sex, sexual orientation, gender identity or expression, age, or any other characteristic protected by law. Grammarly is an equal opportunity employer and abides by the Employment Equity Act.
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario
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
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 Ukraine, this policy requires team members to be vaccinated or produce a daily negative COVID-19 test administered at the Kyiv hub to work from the hub or attend in-person meetings.
#LI-Remote
Tags: A/B testing Deep Learning Machine Learning ML models NLP Pipelines Testing
Perks/benefits: Career development Competitive pay Equity Health care Home office stipend Startup environment Team events
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