Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.
All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.
Grammarly team members in this role must be based in Poland or Germany and be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.
We are seeking a skilled Machine Learning Engineer to join our Mobile team and help us achieve our ambitious goals. As the first Machine Learning Engineer on our Mobile Team, this person will be instrumental in developing and deploying AI technologies directly to user devices, enhancing their communication experience across mobile platforms. Our Machine Learning Engineer’s contributions will directly enhance features that improve everyday communication for millions of users and give you a voice in influencing the Mobile Product Roadmap.
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. You can hear more from our team on our technical blog.
As a Machine Learning Engineer on our Mobile Team, you will:
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. Grammarly is an equal opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, color, gender expression or identity, sexual orientation, sexual identity, national origin, citizenship, age, marital status, veteran status, disability status, criminal prosecution, judgment in a criminal case, or any other characteristic protected by law.
For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here.
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All team members meeting in person for official Grammarly business or working from a hub location are strongly encouraged to be vaccinated against COVID-19.
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