Grammarly offers a remote-first hybrid working model. Team members can work primarily remotely. Starting in 2022, teams will meet in person a few weeks 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 a hub. Read more about our remote-first hybrid model.
Grammarly team members who will be collaborating at our Vancouver hub must be based in Canada.
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 30 million people and 30,000 teams around the world use our AI-powered writing assistant every day. 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 focused on machine learning platforms to join our team. This individual will be responsible for building a platform to power machine learning systems across the company. The platform will be used by engineers, scientists, linguists, and others, enabling experts to spend more time using their machine learning expertise and less time on infrastructure-related work to support it.
Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs. The system you build will play an important role in accelerating these results. Read more about our stack or hear from our team on our technical blog.
The Software Engineer focusing on machine learning platforms will need to stay up-to-date in this fast-moving field. This includes being aware of cloud platforms and open source tools that can be used in such a platform—and ideally being aware of some of the excellent platforms others are using, such as Michelangelo or FBLearner Flow. Natural language processing technology is critical to Grammarly’s success, so the platform will need to handle unique challenges, including enormous, sparse feature sets and the latest Transformer-based pre-trained deep learning models.
In this role, you will:
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.